From d6b1be0d184bd3c7f08f0ec200e921047a38f639 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Wed, 4 Jan 2023 11:04:41 +0100 Subject: [PATCH 01/31] Adding new layout for buttons and option menus --- DESCRIPTION | 2 +- inst/biblioshiny/server.R | 166 +++--------------------- inst/biblioshiny/ui.R | 267 +++++++++++++++++++++++++++----------- 3 files changed, 208 insertions(+), 227 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 798b2983..91291016 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -59,6 +59,6 @@ Suggests: shinycssloaders, visNetwork, wordcloud2 -RoxygenNote: 7.2.1 +RoxygenNote: 7.2.3 NeedsCompilation: no Config/testthat/edition: 3 diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index ee72d363..eaf24e83 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -1158,7 +1158,7 @@ server <- function(input, output,session){ }, content <- function(file) { - ggsave(filename = file, plot = values$ASPplot, dpi = as.numeric(input$ASPdpi), height = input$ASPh, width = input$ASPh*2, bg="white") + ggsave(filename = file, plot = values$ASPplot, dpi = 300, height = 7, width = 7*2, bg="white") }, contentType = "png" ) @@ -1260,7 +1260,7 @@ server <- function(input, output,session){ paste("AverageArticleCitationPerYear-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$ACpYplot, dpi = as.numeric(input$ACpYdpi), height = input$ACpYh, width = input$ACpYh*2, bg="white") + ggsave(filename = file, plot = values$ACpYplot, dpi = 300, height = 7, width = 7*2, bg="white") }, contentType = "png" ) @@ -5438,155 +5438,13 @@ server <- function(input, output,session){ selected = "all") ), ## Annual Scientific Prod ---- - conditionalPanel(condition = 'input.sidebarmenu == "annualScPr"', - br(), - # h4(strong("Annual Growth Rate")), - # br(), - # verbatimTextOutput("CAGR", placeholder = TRUE), - # br(), - # selectInput( - # 'ASPdpi', - # label = h4(strong("Export plot")), - # choices=c( - # "dpi value" = "null", - # "75 dpi" = "75", - # "150 dpi" = "150", - # "300 dpi" = "300", - # "600 dpi" = "600" - # ), - # selected = "null" - # ) - ), - br(), - # br(), - # conditionalPanel(condition = 'input.sidebarmenu == "annualScPr" & input.ASPdpi != "null"', - # sliderInput( - # 'ASPh', - # label =h4(em(strong("Height (in inches)"))), - # value = 7, min = 1, max = 20, step = 1), - # downloadButton("ASPplot.save", strong("Export plot as png"), - # style ="border-radius: 10px; border-width: 3px; vertical-align: 'middle';font-size: 20px;", - # width = "100%") - # ), + ## Average Cit Per Year ---- - conditionalPanel(condition = 'input.sidebarmenu == "averageCitPerYear"', - br(), - selectInput( - 'ACpYdpi', - h4(strong("Export plot"), align ="center"), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.ACpYdpi != 'null'", - sliderInput( - 'ACpYh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("ACpYplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%") - ) - ), + ## Three field Plot ---- - conditionalPanel(condition = 'input.sidebarmenu == "threeFieldPlot"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - fluidRow( - (column(6, selectInput("CentralField", - label = "Middle Field", - choices = c("Authors" = "AU", - "Affiliations" = "AU_UN", - "Countries"="AU_CO", - "Keywords" = "DE", - "Keywords Plus" = "ID", - "Titles" = "TI_TM", - "Abstract" = "AB_TM", - "Sources" = "SO", - "References" = "CR", - "Cited Sources" = "CR_SO"), - selected = "AU"))), - (column(6,numericInput("CentralFieldn", - label=("Number of items"), - min = 1, max = 50, step = 1, value = 20)))), - fluidRow( - (column(6,selectInput("LeftField", - label = "Left Field", - choices = c("Authors" = "AU", - "Affiliations" = "AU_UN", - "Countries"="AU_CO", - "Keywords" = "DE", - "Keywords Plus" = "ID", - "Titles" = "TI_TM", - "Abstract" = "AB_TM", - "Sources" = "SO", - "References" = "CR", - "Cited Sources" = "CR_SO"), - selected = "CR"))), - (column(6, numericInput("LeftFieldn", - label=("Number of items"), - min = 1, max = 50, step = 1, value = 20)))), - fluidRow( - (column(6,selectInput("RightField", - label = "Right Field", - choices = c("Authors" = "AU", - "Affiliations" = "AU_UN", - "Countries"="AU_CO", - "Keywords" = "DE", - "Keywords Plus" = "ID", - "Titles" = "TI_TM", - "Abstract" = "AB_TM", - "Sources" = "SO", - "References" = "CR", - "Cited Sources" = "CR_SO"), - selected = "DE"))), - (column(6,numericInput("RightFieldn", - label=("Number of items"), - min = 1, max = 50, step = 1, value = 20)))) - ) - ), + ## Relevant Sources ---- - conditionalPanel(condition = 'input.sidebarmenu == "relevantSources"', - h4(strong("Parameters: ")), - " ", - numericInput("MostRelSourcesK", - label=("Number of Sources"), - value = 10), - br(), - selectInput( - 'MRSdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MRSdpi != 'null'", - sliderInput( - 'MRSh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MRSplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%") - ) - ), + ## Most Local Cited Sources ---- conditionalPanel(condition ='input.sidebarmenu == "localCitedSources"', h4(strong("Parameters: ")), @@ -8031,6 +7889,18 @@ server <- function(input, output,session){ ) ) }) + + observeEvent(input$screenTFP,{ + screenshot( + filename = paste("ThreeFieldPlot-", Sys.Date(), ".png", sep=""), + id = "ThreeFieldsPlot", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 71c0ea96..69145a83 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -16,6 +16,30 @@ bibliometrixWeb <- "javascript:void(window.open('https://www.bibliometrix.org/', k_synth <- "javascript:void(window.open('https://www.k-synth.unina.it', '_blank'))" github_aria <- "javascript:void(window.open('https://github.com/massimoaria/bibliometrix', '_blank'))" +style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button) +style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons) +t_report <- "Add Results to the Report" +t_export <- "Export Plot as PNG" +t_run <- "Run the Analysis" +run_bttn <- list( + label = NULL, + style = "material-circle", + color = "primary", + icon = icon(name ="play", lib="glyphicon") +) +report_bttn <- list( + label = NULL, + style = "material-circle", + color = "primary", + icon = icon(name ="plus", lib="glyphicon") +) +export_bttn <- list( + label=NULL, + style = "material-circle", + color = "primary", + icon = icon(name ="download", lib="glyphicon") +) + ## Header ---- header <- shinydashboardPlus::dashboardHeader(title = mytitle, titleWidth = 300, @@ -219,13 +243,15 @@ body <- dashboardBody( ##### main information ---- tabItem("mainInfo", fluidPage( - fluidRow(column(10, + fluidRow(column(11, h2(strong("Main Information"), align = "center")), - column(2, - actionButton("reportMI", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 20px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMI") + )) + )) ), fluidRow( tabsetPanel(type = "tabs", id = "maininfo", @@ -260,52 +286,22 @@ body <- dashboardBody( ##### annual scientific production ---- tabItem("annualScPr", fluidPage( - fluidRow(column(9, + fluidRow(column(10, h2(strong("Annual Scientific Production"), align = "center")), - column(2, - actionButton("reportASP", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 20px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ), - column(1, - br(), - ## dropdown options - dropdown( - h4(strong("Annual Growth Rate")), - br(), - verbatimTextOutput("CAGR", placeholder = TRUE), - br(), - selectInput( - 'ASPdpi', - label = h4(strong("Export plot")), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - br(), - conditionalPanel(condition = 'input.ASPdpi != "null"', - sliderInput( - 'ASPh', - label =h4(em(strong("Height (in inches)"))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("ASPplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px; vertical-align: 'middle';font-size: 20px;", - width = "100%") - ), - right = TRUE, - animate = TRUE, - style = "unite", icon = icon("cog",lib="glyphicon"), - width = "300px", - tooltip = "Options"#, - #showOnCreate = TRUE - ) - # End Dropdown options - ) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportASP") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "ASPplot.save") + )) + )) ), fluidRow( tabsetPanel(id ="tabsASP", @@ -325,11 +321,20 @@ body <- dashboardBody( fluidPage( fluidRow(column(10, h2(strong("Average Citations Per Year"), align = "center")), - column(2, - actionButton("reportACpY", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 20px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportACpY") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "ACpYplot.save") + )) + )) ), fluidRow( tabsetPanel(type = "tabs", @@ -347,23 +352,96 @@ body <- dashboardBody( tabItem("threeFieldPlot", fluidPage( fluidRow( - column(6, + column(8, h2(strong("Three-Field Plot"), align = "center")), - column(2, - actionButton("apply3F", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name ="play"))), - column(2, - actionButton("reportTFP", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ), - column(2, - screenshotButton(label=strong("Export"), id = "ThreeFieldsPlot", - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - scale = 2, width = "80%", - file=paste("ThreeFieldPlot-", Sys.Date(), ".png", sep="")) - ) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "apply3F") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportTFP") + )) + )), + div(style = style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenTFP") + )) + )), + div(style = style_opt, + column(1, + dropdown( + box(title = h4(strong("Parameters")), + collapsible = FALSE, + width = 15, + solidHeader = FALSE, + fluidRow( + column(6, selectInput("CentralField", + label = "Middle Field", + choices = c("Authors" = "AU", + "Affiliations" = "AU_UN", + "Countries"="AU_CO", + "Keywords" = "DE", + "Keywords Plus" = "ID", + "Titles" = "TI_TM", + "Abstract" = "AB_TM", + "Sources" = "SO", + "References" = "CR", + "Cited Sources" = "CR_SO"), + selected = "AU")), + column(6,numericInput("CentralFieldn", + label=("Number of items"), + min = 1, max = 50, step = 1, value = 20))), + fluidRow( + column(6,selectInput("LeftField", + label = "Left Field", + choices = c("Authors" = "AU", + "Affiliations" = "AU_UN", + "Countries"="AU_CO", + "Keywords" = "DE", + "Keywords Plus" = "ID", + "Titles" = "TI_TM", + "Abstract" = "AB_TM", + "Sources" = "SO", + "References" = "CR", + "Cited Sources" = "CR_SO"), + selected = "CR")), + column(6, numericInput("LeftFieldn", + label=("Number of items"), + min = 1, max = 50, step = 1, value = 20))), + fluidRow( + column(6,selectInput("RightField", + label = "Right Field", + choices = c("Authors" = "AU", + "Affiliations" = "AU_UN", + "Countries"="AU_CO", + "Keywords" = "DE", + "Keywords Plus" = "ID", + "Titles" = "TI_TM", + "Abstract" = "AB_TM", + "Sources" = "SO", + "References" = "CR", + "Cited Sources" = "CR_SO"), + selected = "DE")), + column(6,numericInput("RightFieldn", + label=("Number of items"), + min = 1, max = 50, step = 1, value = 20))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + )) + ) ), fluidRow( shinycssloaders::withSpinner(plotlyOutput(outputId = "ThreeFieldsPlot", height = "90vh")) @@ -377,13 +455,46 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Relevant Sources"), align = "center")), - column(2,actionButton("applyMRSources", strong("Run"),style ="border-radius: 10px; border-width: 3px;font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMRS", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMRSources") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMRS") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MRSplot.save") + )) + )), + + div(column(1, + dropdown( + h4(strong("Parameters: ")), + " ", + numericInput("MostRelSourcesK", + label=("Number of Sources"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) + ), fluidRow( tabsetPanel(type = "tabs", From 9a11c9e1809d9475c28e7e827d56f219c3d99e71 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Wed, 4 Jan 2023 18:11:40 +0100 Subject: [PATCH 02/31] work in progress --- inst/biblioshiny/server.R | 1095 +++------------------------------ inst/biblioshiny/ui.R | 1205 ++++++++++++++++++++++++++++++++----- 2 files changed, 1126 insertions(+), 1174 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index eaf24e83..f5c2cba3 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -22,6 +22,7 @@ server <- function(input, output,session){ values$myChoices <- "Empty Report" values$logo <- logo values$logoGrid <- grid::rasterGrob(logo,interpolate = TRUE) + values$dpi <- 300 values$h <- 7 values$w <- 14 values$results <- list("NA") @@ -1158,7 +1159,7 @@ server <- function(input, output,session){ }, content <- function(file) { - ggsave(filename = file, plot = values$ASPplot, dpi = 300, height = 7, width = 7*2, bg="white") + ggsave(filename = file, plot = values$ASPplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1260,7 +1261,7 @@ server <- function(input, output,session){ paste("AverageArticleCitationPerYear-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$ACpYplot, dpi = 300, height = 7, width = 7*2, bg="white") + ggsave(filename = file, plot = values$ACpYplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1348,7 +1349,7 @@ server <- function(input, output,session){ paste("MostRelevantSources-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MRSplot, dpi = as.numeric(input$MRSdpi), height = input$MRSh, width = input$MRSh*2, bg="white") + ggsave(filename = file, plot = values$MRSplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1424,7 +1425,7 @@ server <- function(input, output,session){ paste("MostLocalCitedSources-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MLCSplot, dpi = as.numeric(input$MLCSdpi), height = input$MLCSh, width = input$MLCSh*2, bg="white") + ggsave(filename = file, plot = values$MLCSplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1487,7 +1488,7 @@ server <- function(input, output,session){ paste("BradfordLaws-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$bradford$graph, dpi = as.numeric(input$BLdpi), height = input$BLh, width = input$BLh*2, bg="white") + ggsave(filename = file, plot = values$bradford$graph, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1545,7 +1546,7 @@ server <- function(input, output,session){ paste("SourceImpact-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$SIplot, dpi = as.numeric(input$SIdpi), height = input$SIh, width = input$SIh*2, bg="white") + ggsave(filename = file, plot = values$SIplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1660,7 +1661,7 @@ server <- function(input, output,session){ paste("SourceDynamics-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$SDplot, dpi = as.numeric(input$SDdpi), height = input$SDh, width = input$SDh*2, bg="white") + ggsave(filename = file, plot = values$SDplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1780,7 +1781,7 @@ server <- function(input, output,session){ paste("MostRelevantAuthors-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MRAplot, dpi = as.numeric(input$MRAdpi), height = input$MRAh, width = input$MRAh*2, bg="white") + ggsave(filename = file, plot = values$MRAplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1860,7 +1861,7 @@ server <- function(input, output,session){ paste("MostLocalCitedAuthors-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MLCAplot, dpi = as.numeric(input$MLCAdpi), height = input$MLCAh, width = input$MLCAh*2, bg="white") + ggsave(filename = file, plot = values$MLCAplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1925,7 +1926,7 @@ server <- function(input, output,session){ paste("AuthorImpact-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$AIplot, dpi = as.numeric(input$AIdpi), height = input$AIh, width = input$AIh*2, bg="white") + ggsave(filename = file, plot = values$AIplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -1984,7 +1985,7 @@ server <- function(input, output,session){ paste("AuthorsProductionOverTime-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$AUProdOverTime$graph, dpi = as.numeric(input$APOTdpi), height = input$APOTh, width = input$APOTh*2.5, bg="white") + ggsave(filename = file, plot = values$AUProdOverTime$graph, dpi = values$dpi, height = values$h, width = values$h*2.5, bg="white") }, contentType = "png" ) @@ -2103,7 +2104,7 @@ server <- function(input, output,session){ paste("LotkaLaw-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$LLplot, dpi = as.numeric(input$LLdpi), height = input$LLh, width = input$LLh*2, bg="white") + ggsave(filename = file, plot = values$LLplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2177,7 +2178,7 @@ server <- function(input, output,session){ paste("MostRelevantAffiliations-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$AFFplot, dpi = as.numeric(input$AFFdpi), height = input$AFFh, width = input$AFFh*2, bg="white") + ggsave(filename = file, plot = values$AFFplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2241,7 +2242,7 @@ server <- function(input, output,session){ paste("AffiliationOverTime-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$AffOverTimePlot, dpi = as.numeric(input$AFFGrowthdpi), height = input$SDh, width = input$AFFGrowthh*2, bg="white") + ggsave(filename = file, plot = values$AffOverTimePlot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2367,7 +2368,7 @@ server <- function(input, output,session){ paste("MostRelevantCountries-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MRCOplot, dpi = as.numeric(input$MRCOdpi), height = input$MRCOh, width = input$MRCOh*2, bg="white") + ggsave(filename = file, plot = values$MRCOplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2430,7 +2431,7 @@ server <- function(input, output,session){ paste("CountryScientificProduction-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$mapworld$g, dpi = as.numeric(input$CSPdpi), height = input$CSPh, width = input$CSPh*2, bg="white") + ggsave(filename = file, plot = values$mapworld$g, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2486,7 +2487,7 @@ server <- function(input, output,session){ paste("CountryOverTime-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CountryOverTimePlot, dpi = as.numeric(input$COGrowthdpi), height = input$COGrowthh, width = input$COGrowthh*2, bg="white") + ggsave(filename = file, plot = values$CountryOverTimePlot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2597,7 +2598,7 @@ server <- function(input, output,session){ paste("MostCitedCountries-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MCCplot, dpi = as.numeric(input$MCCdpi), height = input$MCCh, width = input$MCCh*2, bg="white") + ggsave(filename = file, plot = values$MCCplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2680,7 +2681,7 @@ server <- function(input, output,session){ paste("MostGlobalCitedDocuments-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MGCDplot, dpi = as.numeric(input$MGCDdpi), height = input$MGCDh, width = input$MGCDh*2, bg="white") + ggsave(filename = file, plot = values$MGCDplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2768,7 +2769,7 @@ server <- function(input, output,session){ paste("MostLocalCitedDocuments-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MLCDplot, dpi = as.numeric(input$MLCDdpi), height = input$MLCDh, width = input$MLCDh*2, bg="white") + ggsave(filename = file, plot = values$MLCDplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2847,7 +2848,7 @@ server <- function(input, output,session){ paste("MostLocalCitedReferences-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MLCRplot, dpi = as.numeric(input$MLCRdpi), height = input$MLCRh, width = input$MLCRh*2, bg="white") + ggsave(filename = file, plot = values$MLCRplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -2919,7 +2920,7 @@ server <- function(input, output,session){ paste("ReferenceSpectroscopy-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$res$spectroscopy, dpi = as.numeric(input$RSdpi), height = input$RSh, width = input$RSh*2, bg="white") + ggsave(filename = file, plot = values$res$spectroscopy, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3067,7 +3068,7 @@ server <- function(input, output,session){ paste("MostRelevantWords-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$MRWplot, dpi = as.numeric(input$MRWdpi), height = input$MRWh, width = input$MRWh*2, bg="white") + ggsave(filename = file, plot = values$MRWplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3417,7 +3418,7 @@ server <- function(input, output,session){ paste("WordsFrequencyOverTime-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$WDplot, dpi = as.numeric(input$WDdpi), height = input$WDh, width = input$WDh*2, bg="white") + ggsave(filename = file, plot = values$WDplot, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3546,7 +3547,7 @@ server <- function(input, output,session){ paste("TrendTopics-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$trendTopics$graph, dpi = as.numeric(input$TTdpi), height = input$TTh, width = input$TTh*2, bg="white") + ggsave(filename = file, plot = values$trendTopics$graph, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3631,7 +3632,7 @@ server <- function(input, output,session){ paste("CouplingMap-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CM$map, dpi = as.numeric(input$CMdpi), height = input$CMh, width = input$CMh*2, bg="white") + ggsave(filename = file, plot = values$CM$map, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3822,7 +3823,7 @@ server <- function(input, output,session){ paste("FactorialMap-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_terms, dpi = as.numeric(input$FAdpi), height = input$FAh, width = input$FAh*1.5, bg="white") + ggsave(filename = file, plot = values$CS$graph_terms, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") }, contentType = "png" ) @@ -3832,7 +3833,7 @@ server <- function(input, output,session){ paste("Dendrogram-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_dendogram, dpi = as.numeric(input$FAdpi), height = input$FAh, width = input$FAh*2, bg="white") + ggsave(filename = file, plot = values$CS$graph_dendogram,dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -3842,7 +3843,7 @@ server <- function(input, output,session){ paste("MostContribDocuments-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_documents_Contrib, dpi = as.numeric(input$FAdpi), height = input$FAh, width = input$FAh*1.5, bg="white") + ggsave(filename = file, plot = values$CS$graph_documents_Contrib, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") }, contentType = "png" ) @@ -3852,7 +3853,7 @@ server <- function(input, output,session){ paste("MostCitedDocuments-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_documents_TC, dpi = as.numeric(input$FAdpi), height = input$FAh, width = input$FAh*1.5, bg="white") + ggsave(filename = file, plot = values$CS$graph_documents_TC, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") }, contentType = "png" ) @@ -4079,7 +4080,7 @@ server <- function(input, output,session){ paste("ThematicMap-", Sys.Date(), ".png", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$TM$map, dpi = as.numeric(input$TMdpi), height = input$TMh, width = input$TMh*1.5, bg="white") + ggsave(filename = file, plot = values$TM$map, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") }, contentType = "png" ) @@ -4273,7 +4274,7 @@ server <- function(input, output,session){ for (i in 1:length(values$nexus$TM)){ fileName <- paste("ThematicEvolution-Map_",i,"_",Sys.Date(), ".png", sep="") - ggsave(filename = fileName, plot = values$nexus$TM[[i]]$map, dpi = as.numeric(input$TEdpi), height = input$TEh, width = input$TEh*1.5, bg="white") + ggsave(filename = fileName, plot = values$nexus$TM[[i]]$map, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") files <- c(fileName,files) } zip(file,files) @@ -5103,7 +5104,7 @@ server <- function(input, output,session){ }, content <- function(file) { g <- values$WMmap$g + labs(title = "Country Collaboration Map") - ggsave(filename = file, plot = g, dpi = as.numeric(input$CCdpi), height = input$CCh, width = input$CCh*2, bg="white") + ggsave(filename = file, plot = g, dpi = values$dpi, height = values$h, width = values$h*2, bg="white") }, contentType = "png" ) @@ -5446,998 +5447,49 @@ server <- function(input, output,session){ ## Relevant Sources ---- ## Most Local Cited Sources ---- - conditionalPanel(condition ='input.sidebarmenu == "localCitedSources"', - h4(strong("Parameters: ")), - " ", - numericInput("MostRelCitSourcesK", - label=("Number of Sources"), - value = 10), - br(), - selectInput( - 'MLCSdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MLCSdpi != 'null'", - sliderInput( - 'MLCSh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MLCSplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%") - ) - ), + ## Bradford Law ---- - conditionalPanel(condition ='input.sidebarmenu == "bradford"', - br(), - selectInput( - 'BLdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.BLdpi != 'null'", - sliderInput( - 'BLh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("BLplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - )), + ## Source Impact ---- - conditionalPanel(condition ='input.sidebarmenu == "sourceImpact"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("HmeasureSources", - label = "Impact measure", - choices = c("H-Index"="h", - "G-Index"="g", - "M-Index"="m", - "Total Citation"="tc"), - selected = "h"), - " ", - numericInput("Hksource", - label=("Number of sources"), - value = 10)), - br(), - selectInput( - 'SIdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.SIdpi != 'null'", - sliderInput( - 'SIh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("SIplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Source Dynamics ---- - conditionalPanel(condition ='input.sidebarmenu == "sourceDynamics"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("cumSO", "Occurrences", - choices = c("Cumulate" = "Cum", - "Per year" = "noCum"), - selected = "Cum"), - hr(), - sliderInput("topSO", label = "Number of Sources", min = 1, max = 50, step = 1, value = c(1,5))), - br(), - selectInput( - 'SDdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.SDdpi != 'null'", - sliderInput( - 'SDh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("SDplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - )), + ## Most relevant Authors ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostRelAuthors"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - numericInput("MostRelAuthorsK", - label=("Number of Authors"), - value = 10), - " ", - selectInput("AuFreqMeasure", - label = "Frequency measure", - choices = c("N. of Documents "="t", - "Percentage"="p", - "Fractionalized Frequency"="f"), - selected = "t")), - br(), - selectInput( - 'MRAdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MRAdpi != 'null'", - sliderInput( - 'MRAh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MRAplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Most Local Cited Authors ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostLocalCitedAuthors"', - h4(strong("Parameters: ")), - " ", - numericInput("MostCitAuthorsK", - label=("Number of Authors"), - value = 10), - br(), - selectInput( - 'MLCAdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MLCAdpi != 'null'", - sliderInput( - 'MLCAh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MLCAplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Authors production over time ---- - conditionalPanel(condition = 'input.sidebarmenu == "authorsProdOverTime"', - h4(strong("Parameters: ")), - " ", - numericInput("TopAuthorsProdK", - label=("Number of Authors"), - value = 10), - br(), - selectInput( - 'APOTdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.APOTdpi != 'null'", - sliderInput( - 'APOTh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("APOTplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Lotka law ---- - conditionalPanel(condition = 'input.sidebarmenu == "lotka"', - br(), - selectInput( - 'LLdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.LLdpi != 'null'", - sliderInput( - 'LLh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("LLplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Author Impact ---- - conditionalPanel(condition = 'input.sidebarmenu == "authorImpact"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("HmeasureAuthors", - label = "Impact measure", - choices = c("H-Index"="h", - "G-Index"="g", - "M-Index"="m", - "Total Citation"="tc"), - selected = "h"), - " ", - numericInput("Hkauthor", - label=("Number of authors"), - value = 10)), - br(), - selectInput( - 'AIdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.AIdpi != 'null'", - sliderInput( - 'AIh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("AIplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Most Relevant Affiliations ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostRelAffiliations"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("disAff", - label = "Affiliation Name Disambiguation", - choices = c("Yes"="Y", - "No"="N"), - selected = "Y"), - " ", - numericInput("MostRelAffiliationsK", - label=("Number of Affiliations"), - value = 10)), - br(), - selectInput( - 'AFFdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.AFFdpi != 'null'", - sliderInput( - 'AFFh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("AFFplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Affiliations' Production over Time ---- - conditionalPanel(condition ='input.sidebarmenu == "AffOverTime"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - sliderInput("topAFF", label = "Number of Affiliations", min = 1, max = 50, step = 1, value = 5)), - br(), - selectInput( - 'AFFGrowthdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.AFFGrowthdpi != 'null'", - sliderInput( - 'AFFGrowthh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("AffOverTimeplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - )), - ## Corresponding Author country ---- - conditionalPanel(condition = 'input.sidebarmenu == "correspAuthorCountry"', - h4(strong("Parameters: ")), - numericInput("MostRelCountriesK", - label=("Number of Countries"), - value = 20), - br(), - selectInput( - 'MRCOdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MRCOdpi != 'null'", - sliderInput( - 'MRCOh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MRCOplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Country Scientific Production ---- - conditionalPanel(condition = 'input.sidebarmenu == "countryScientProd"', - br(), - selectInput( - 'CSPdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.CSPdpi != 'null'", - sliderInput( - 'CSPh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("CSPplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Countries' Production over Time ---- - conditionalPanel(condition ='input.sidebarmenu == "COOverTime"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - sliderInput("topCO", label = "Number of Countries", min = 1, max = 50, step = 1, value = 5)), - br(), - selectInput( - 'COGrowthdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.COGrowthdpi != 'null'", - sliderInput( - 'COGrowthh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("CountryOverTimeplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Most Cited Countries ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostCitedCountries"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("CitCountriesMeasure", - label = "Measure", - choices = c("Total Citations"="TC", - "Average Citations per Year"="TCY"), - selected = "TC"), - " ", - numericInput("MostCitCountriesK", - label=("Number of Countries"), - value = 10)), - br(), - selectInput( - 'MCCdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MCCdpi != 'null'", - sliderInput( - 'MCCh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MCCplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Most Global Cited Documents ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostGlobalCitDoc"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - numericInput("MostCitDocsK", - label=("Number of Documents"), - value = 10), - " ", - selectInput("CitDocsMeasure", - label = "Measure", - choices = c("Total Citations"="TC", - "Total Citations per Year"="TCY"), - selected = "TC")), - br(), - selectInput( - 'MGCDdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MGCDdpi != 'null'", - sliderInput( - 'MGCDh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MGCDplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Most Local Cited Documents ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostLocalCitDoc"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - numericInput("MostLocCitDocsK", - label=("Number of Documents"), - value = 10), - " ", - selectInput(inputId = "LocCitSep", - label = "Field separator character", - choices = c(";" = ";", - ". " = ". ", - "," = ","), - selected = ";")), - br(), - selectInput( - 'MLCDdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MLCDdpi != 'null'", - sliderInput( - 'MLCDh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MLCDplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Most Local Cited References ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostLocalCitRef"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - numericInput("MostCitRefsK", - label=("Number of Documents"), - value = 10), - " ", - selectInput(inputId = "CitRefsSep", - label = "Field separator character", - choices = c(";" = ";", - ". " = ". ", - "," = ","), - selected = ";")), - br(), - selectInput( - 'MLCRdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MLCRdpi != 'null'", - sliderInput( - 'MLCRh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MLCRplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Corresponding Author country ---- + + ## Country Scientific Production ---- + + ## Countries' Production over Time ---- + + ## Most Cited Countries ---- + + ## Most Global Cited Documents ---- + + ## Most Local Cited Documents ---- + + ## Most Local Cited References ---- + ## References spectroscopy - conditionalPanel(condition = 'input.sidebarmenu == "ReferenceSpect"', - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput(inputId = "rpysSep", - label = "Field separator character", - choices = c(";" = ";", - ". " = ". ", - "," = ","), - selected = ";"), - h4(em(strong("Time slice"))), - fluidRow(column(6, - numericInput(inputId = "rpysMinYear", - label = "Starting Year", - value = NA, - step = 1)), - column(6, - numericInput(inputId = "rpysMaxYear", - label = "End Year", - value = NA, - step = 1) - ))), - br(), - selectInput( - 'RSdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.RSdpi != 'null'", - sliderInput( - 'RSh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("RSplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - - ) - ), + ## Most Frequent Words ---- - conditionalPanel(condition = 'input.sidebarmenu == "mostFreqWords"', - selectInput("MostRelWords", "Field", - choices = c("Keywords Plus" = "ID", - "Author's keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB", - "Subject Categories (WoS)" = "WC"), - selected = "ID"), - conditionalPanel(condition = "input.MostRelWords == 'AB' |input.MostRelWords == 'TI'", - selectInput("MRWngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - numericInput("MostRelWordsN", label = "Number of words", min = 2, max = 100, step = 1, value = 10), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("MostRelWordsStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.MostRelWordsStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("MostRelWordsStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("MostRelWordsSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("MostRelWordsStopPreview")) - ), - selectInput("MRWSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.MRWSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("MRWSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("MRWSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("MRWSynPreview")) - )), - br(), - selectInput( - 'MRWdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.MRWdpi != 'null'", - sliderInput( - 'MRWh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("MRWplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%")) - ), + ## Wordcloud ---- - conditionalPanel(condition = 'input.sidebarmenu == "wcloud"', - h4(em(strong(" "))), - " ", - selectInput("summaryTerms", "Field", - choices = c("Keywords Plus" = "ID", - "Author's keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB", - "Subject Categories (WoS)" = "WC"), - selected = "ID"), - conditionalPanel(condition = "input.summaryTerms == 'AB' |input.summaryTerms == 'TI'", - selectInput("summaryTermsngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - numericInput("n_words", label = "Number of words", min = 10, max = 500, step = 1, value = 50), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("WCStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.WCStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("WCStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - selectInput("WCSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ",") - ), - selectInput("WCSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.WCSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("WCSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("WCSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ",") - )), - br(), - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - selectInput("measure", "Word occurrence by", - choices = c("Frequency" = "freq", - "Square root" = "sqrt", - "Log" = "log", - "Log10" = "log10"), - selected = "freq") - ), - column(6, - selectInput("wcShape", "Shape", - choices = c("Circle" = "circle", - "Cardiod" = "cardioid", - "Diamond" = "diamond", - "Pentagon" = "pentagon", - "Star" = "star", - "Triangle-forward" = "triangle-forward" - ,"Triangle" = "triangle"), - selected = "circle") - )), - fluidRow(column(6, - selectInput("font", label = "Font type", - choices = c("Impact", "Comic Sans MS (No plz!)" = "Comic Sans MS", - "Arial", "Arial Black", "Tahoma", "Verdana", "Courier New", - "Georgia", "Times New Roman", "Andale Mono")) - ), - column(6, - selectInput("wcCol", "Text colors", - choices = c("Random Dark" = "random-dark", - "Random Light" = "random-light"), - selected = "random-dark") - )), - fluidRow(column(6, - numericInput("scale", label = "Font size", min=0.1,max=5,step=0.1,value=0.5) - ), - column(6, - numericInput("ellipticity", label = "Ellipticity", min=0,max=1,step=0.05,value=0.65) - )), - fluidRow(column(6, - numericInput("padding", label = "Padding", min = 0, max = 5, value = 1, step = 1) - ), - column(6, - numericInput("rotate", label = "Rotate", min = 0, max = 20, value = 0, step = 1) - )) - ) - ), + ## Tree Map ---- - conditionalPanel(condition = 'input.sidebarmenu == "treemap"', - selectInput("treeTerms", "Field", - choices = c("Keywords Plus" = "ID", - "Author's keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB", - "Subject Categories (WoS)" = "WC"), - selected = "ID"), - conditionalPanel(condition = "input.treeTerms == 'AB' |input.treeTerms == 'TI'", - selectInput("treeTermsngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - numericInput("treen_words", label = "Number of words", min = 10, max = 200, step = 5, value = 50), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("TreeMapStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TreeMapStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("TreeMapStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TreeMapSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TreeMapStopPreview")) - ), - selectInput("TreeMapSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TreeMapSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("TreeMapSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TreeMapSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TreeMapSynPreview")) - ) - ) - ), + ## Word dynamics ---- conditionalPanel(condition = 'input.sidebarmenu == "wordDynamics"', selectInput("growthTerms", "Field", @@ -7890,6 +6942,7 @@ server <- function(input, output,session){ ) }) + ### screenshot buttons observeEvent(input$screenTFP,{ screenshot( filename = paste("ThreeFieldPlot-", Sys.Date(), ".png", sep=""), @@ -7901,6 +6954,28 @@ server <- function(input, output,session){ ) }) + observeEvent(input$screenWC,{ + screenshot( + filename = paste("WordCloud-", Sys.Date(), ".png", sep=""), + id = "wordcloud", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + + observeEvent(input$screenTREEMAP,{ + screenshot( + filename = paste("TreeMap-", Sys.Date(), ".png", sep=""), + id = "treemap", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 69145a83..98029ea0 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -480,7 +480,7 @@ body <- dashboardBody( div(column(1, dropdown( h4(strong("Parameters: ")), - " ", + br(), numericInput("MostRelSourcesK", label=("Number of Sources"), value = 10), @@ -514,13 +514,44 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Local Cited Sources"), align = "center")), - column(2, - actionButton("applyMLCSources", strong("Run"),style ="border-radius: 10px; border-width: 3px;font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMLS", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMLCSources") + )) + )), + + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMLS") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MLCSplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostRelCitSourcesK", + label=("Number of Sources"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -542,13 +573,20 @@ body <- dashboardBody( #titlePanel( h2(strong("Core Sources by Bradford's Law"), align = "center") ), - column(2, - actionButton("reportBradford", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) - - #) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportBradford") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "BLplot.save") + )) + )) ), fluidRow( tabsetPanel(type = "tabs", @@ -568,14 +606,51 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Sources' Local Impact"), align = "center")), - column(2, - actionButton("applyHsource", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name ="play"))), - column(2, - actionButton("reportSI", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyHsource") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportSI") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "SIplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("HmeasureSources", + label = "Impact measure", + choices = c("H-Index"="h", + "G-Index"="g", + "M-Index"="m", + "Total Citation"="tc"), + selected = "h"), + br(), + numericInput("Hksource", + label=("Number of sources"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -596,14 +671,47 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Sources' Production over Time"), align = "center")), - column(2,actionButton("applySOGrowth", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name ="play")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applySOGrowth") + )) + )), + + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportSD") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "SDplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("cumSO", "Occurrences", + choices = c("Cumulate" = "Cum", + "Per year" = "noCum"), + selected = "Cum"), + sliderInput("topSO", label = "Number of Sources", + min = 1, max = 50, step = 1, value = c(1,5)), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) ), - column(2, - actionButton("reportSD", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + style = style_opt ) ), fluidRow( @@ -625,13 +733,50 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Relevant Authors"), align = "center")), - column(2, - actionButton("applyMRAuthors", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMRA", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMRAuthors") + )) + )), + + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMRA") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MRAplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostRelAuthorsK", + label=("Number of Authors"), + value = 10), + selectInput("AuFreqMeasure", + label = "Frequency measure", + choices = c("N. of Documents "="t", + "Percentage"="p", + "Fractionalized Frequency"="f"), + selected = "t"), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -652,12 +797,44 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Local Cited Authors"), align = "center")), - column(2,actionButton("applyMLCAuthors", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMLCA", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMLCAuthors") + )) + )), + + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMLCA") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MLCAplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostCitAuthorsK", + label=("Number of Authors"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -678,14 +855,42 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Authors' Production over Time"), align = "center")), - column(2, - actionButton("applyAUoverTime", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportAPOT", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyAUoverTime") + )) + )),div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportAPOT") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "APOTplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("TopAuthorsProdK", + label=("Number of Authors"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -710,11 +915,20 @@ body <- dashboardBody( column(10, h2(strong("Author Productivity through Lotka's Law"), align = "center") ), - column(2, - actionButton("reportLotka", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportLotka") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "LLplot.save") + )) + )) ), fluidRow( tabsetPanel(type = "tabs", @@ -734,19 +948,55 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Authors' Local Impact"), align = "center")), - column(2, - actionButton("applyHAuthors", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play")) - ), - column(2, - actionButton("reportAI", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) - ), - fluidRow( - tabsetPanel(type = "tabs", - tabPanel("Plot", + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyHAuthors") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportAI") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "AIplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("HmeasureAuthors", + label = "Impact measure", + choices = c("H-Index"="h", + "G-Index"="g", + "M-Index"="m", + "Total Citation"="tc"), + selected = "h"), + numericInput("Hkauthor", + label=("Number of authors"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt + ) + ), + fluidRow( + tabsetPanel(type = "tabs", + tabPanel("Plot", shinycssloaders::withSpinner(plotlyOutput(outputId = "AuthorHindexPlot", height = "75vh",width ="98.9%")) ), tabPanel("Table", @@ -762,14 +1012,48 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Relevant Affiliations"), align = "center")), - column(2, - actionButton("applyMRAffiliations", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMRAFF", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMRAffiliations") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMRAFF") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "AFFplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("disAff", + label = "Affiliation Name Disambiguation", + choices = c("Yes"="Y", + "No"="N"), + selected = "Y"), + numericInput("MostRelAffiliationsK", + label=("Number of Affiliations"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -790,14 +1074,42 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Affiliations' Production over Time"), align = "center")), - column(2,actionButton("applyAFFGrowth", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name ="play")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyAFFGrowth") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportAFFPOT") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "AffOverTimeplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("topAFF", label = "Number of Affiliations", + min = 1, max = 50, step = 1, value = 5), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) ), - column(2, - actionButton("reportAFFPOT", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + style = style_opt ) ), fluidRow( @@ -818,13 +1130,43 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Corresponding Author's Countries"), align = "center")), - column(2, - actionButton("applyCAUCountries", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMRCO", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCAUCountries") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMRCO") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MRCOplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostRelCountriesK", + label=("Number of Countries"), + value = 20, min = 1, max = 50), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -844,11 +1186,20 @@ body <- dashboardBody( fluidPage( fluidRow(column(10, h2(strong("Countries' Scientific Production"), align = "center")), - column(2, - actionButton("reportCSP", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) - ) + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCSP") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "CSPplot.save") + )) + )) ), fluidRow( tabsetPanel(type = "tabs", @@ -868,14 +1219,42 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Countries' Production over Time"), align = "center")), - column(2,actionButton("applyCOGrowth", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name ="play")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCOGrowth") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCPOT") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "CountryOverTimeplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + sliderInput("topCO", label = "Number of Countries", + min = 1, max = 50, step = 1, value = 5), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) ), - column(2, - actionButton("reportCPOT", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + style = style_opt ) ), fluidRow( @@ -896,12 +1275,48 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Cited Countries"), align = "center")), - column(2,actionButton("applyMCCountries", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMCCO", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMCCountries") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMCCO") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MCCplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("CitCountriesMeasure", + label = "Measure", + choices = c("Total Citations"="TC", + "Average Citations per Year"="TCY"), + selected = "TC"), + numericInput("MostCitCountriesK", + label=("Number of Countries"), + value = 10), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -923,14 +1338,48 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Global Cited Documents"), align = "center")), - column(2, - actionButton("applyMGCDocuments", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMCD", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMGCDocuments") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMCD") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MGCDplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostCitDocsK", + label=("Number of Documents"), + value = 10), + selectInput("CitDocsMeasure", + label = "Measure", + choices = c("Total Citations"="TC", + "Total Citations per Year"="TCY"), + selected = "TC"), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -951,14 +1400,49 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Local Cited Documents"), align = "center")), - column(2, actionButton("applyMLCDocuments", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = fa_i(name="play"))), - column(2, - actionButton("reportMLCD", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMLCDocuments") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMLCD") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MLCDplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostLocCitDocsK", + label=("Number of Documents"), + value = 10), + selectInput(inputId = "LocCitSep", + label = "Field separator character", + choices = c(";" = ";", + ". " = ". ", + "," = ","), + selected = ";"), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -979,14 +1463,49 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Most Local Cited References"), align = "center")), - column(2, - actionButton("applyMLCReferences", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportMLCR", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMLCReferences") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMLCR") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MLCRplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + numericInput("MostCitRefsK", + label=("Number of Documents"), + value = 10), + selectInput(inputId = "CitRefsSep", + label = "Field separator character", + choices = c(";" = ";", + ". " = ". ", + "," = ","), + selected = ";"), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -1008,13 +1527,58 @@ body <- dashboardBody( column(8, h2(strong("Reference Spectroscopy"), align = "center") ), - column(2, - actionButton("applyRPYS", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportRPYS", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyRPYS") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportRPYS") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "RSplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput(inputId = "rpysSep", + label = "Field separator character", + choices = c(";" = ";", + ". " = ". ", + "," = ","), + selected = ";"), + h4(em(strong("Time slice"))), + fluidRow(column(6, + numericInput(inputId = "rpysMinYear", + label = "Starting Year", + value = NA, + step = 1)), + column(6, + numericInput(inputId = "rpysMaxYear", + label = "End Year", + value = NA, + step = 1) + )), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -1038,15 +1602,103 @@ body <- dashboardBody( column(8, h2(strong("Most Frequent Words"), align = "center") ), - column(2, - actionButton("applyMFWords", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play")) - ), - column(2, - actionButton("reportMFW", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyMFWords") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportMFW") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "MRWplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("MostRelWords", "Field", + choices = c("Keywords Plus" = "ID", + "Author's keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB", + "Subject Categories (WoS)" = "WC"), + selected = "ID"), + conditionalPanel(condition = "input.MostRelWords == 'AB' |input.MostRelWords == 'TI'", + selectInput("MRWngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + numericInput("MostRelWordsN", label = "Number of words", min = 2, max = 100, step = 1, value = 10), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("MostRelWordsStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.MostRelWordsStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("MostRelWordsStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("MostRelWordsSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("MostRelWordsStopPreview")) + ), + selectInput("MRWSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.MRWSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("MRWSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("MRWSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("MRWSynPreview")) + )), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -1068,13 +1720,148 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("WordCloud"), align = "center")), - column(2,actionButton("applyWordCloud", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportWC", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyWordCloud") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportWC") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenWC") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("summaryTerms", "Field", + choices = c("Keywords Plus" = "ID", + "Author's keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB", + "Subject Categories (WoS)" = "WC"), + selected = "ID"), + conditionalPanel(condition = "input.summaryTerms == 'AB' |input.summaryTerms == 'TI'", + selectInput("summaryTermsngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + numericInput("n_words", label = "Number of words", min = 10, max = 500, step = 1, value = 50), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("WCStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.WCStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("WCStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + selectInput("WCSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ",") + ), + selectInput("WCSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.WCSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("WCSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("WCSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ",") + )), + br(), + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + selectInput("measure", "Word occurrence by", + choices = c("Frequency" = "freq", + "Square root" = "sqrt", + "Log" = "log", + "Log10" = "log10"), + selected = "freq") + ), + column(6, + selectInput("wcShape", "Shape", + choices = c("Circle" = "circle", + "Cardiod" = "cardioid", + "Diamond" = "diamond", + "Pentagon" = "pentagon", + "Star" = "star", + "Triangle-forward" = "triangle-forward" + ,"Triangle" = "triangle"), + selected = "circle") + )), + fluidRow(column(6, + selectInput("font", label = "Font type", + choices = c("Impact", "Comic Sans MS (No plz!)" = "Comic Sans MS", + "Arial", "Arial Black", "Tahoma", "Verdana", "Courier New", + "Georgia", "Times New Roman", "Andale Mono")) + ), + column(6, + selectInput("wcCol", "Text colors", + choices = c("Random Dark" = "random-dark", + "Random Light" = "random-light"), + selected = "random-dark") + )), + fluidRow(column(6, + numericInput("scale", label = "Font size", min=0.1,max=5,step=0.1,value=0.5) + ), + column(6, + numericInput("ellipticity", label = "Ellipticity", min=0,max=1,step=0.05,value=0.65) + )), + fluidRow(column(6, + numericInput("padding", label = "Padding", min = 0, max = 5, value = 1, step = 1) + ), + column(6, + numericInput("rotate", label = "Rotate", min = 0, max = 20, value = 0, step = 1) + )) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -1096,14 +1883,104 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("TreeMap"), align = "center")), - column(2, - actionButton("applyTreeMap", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportTREEMAP", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyTreeMap") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportTREEMAP") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenTREEMAP") + )) + )), + div(column(1, + dropdown( + h4(strong("Parameters: ")), + br(), + selectInput("treeTerms", "Field", + choices = c("Keywords Plus" = "ID", + "Author's keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB", + "Subject Categories (WoS)" = "WC"), + selected = "ID"), + conditionalPanel(condition = "input.treeTerms == 'AB' |input.treeTerms == 'TI'", + selectInput("treeTermsngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + numericInput("treen_words", label = "Number of words", min = 10, max = 200, step = 5, value = 50), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("TreeMapStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TreeMapStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("TreeMapStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TreeMapSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TreeMapStopPreview")) + ), + selectInput("TreeMapSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TreeMapSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("TreeMapSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TreeMapSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TreeMapSynPreview")) + ) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( From 9e6c28c320cf24ad6ae7e02e838e3c1e1a7247b3 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 5 Jan 2023 10:28:44 +0100 Subject: [PATCH 03/31] work in progress --- inst/biblioshiny/server.R | 207 +---------------------------- inst/biblioshiny/ui.R | 273 +++++++++++++++++++++++++++++++++----- 2 files changed, 239 insertions(+), 241 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index f5c2cba3..819eb9db 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -5491,212 +5491,9 @@ server <- function(input, output,session){ ## Tree Map ---- ## Word dynamics ---- - conditionalPanel(condition = 'input.sidebarmenu == "wordDynamics"', - selectInput("growthTerms", "Field", - choices = c("Keywords Plus" = "ID", - "Author's keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.growthTerms == 'AB' |input.growthTerms == 'TI'", - selectInput("growthTermsngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("WDStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.WDStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("WDStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("WDSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("WDStopPreview")) - ), - selectInput("WDSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.WDSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("WDSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("WDSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("WDSynPreview")) - )), - br(), - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("cumTerms", "Occurrences", - choices = c("Cumulate" = "Cum", - "Per year" = "noCum"), - selected = "Cum"), - sliderInput("topkw", label = "Number of words", min = 1, max = 100, step = 1, value = c(1,10))), - br(), - selectInput( - 'WDdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.WDdpi != 'null'", - sliderInput( - 'WDh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("WDplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - - ) - ), + ## Trend Topic ---- - conditionalPanel(condition = 'input.sidebarmenu == "trendTopic"', - selectInput("trendTerms", "Field", - choices = c("Keywords Plus" = "ID", - "Author's keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'", - selectInput("trendTermsngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - conditionalPanel( - condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'", - selectInput("trendStemming", label="Word Stemming", - choices = c("Yes" = TRUE, - "No" = FALSE), - selected = FALSE)), - uiOutput("trendSliderPY"), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("TTStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TTStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("TTStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TTSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TTStopPreview")) - ), - selectInput("TTSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TTSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("TTSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TTSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TTSynPreview")) - )), - br(), - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput("trendMinFreq", label = "Word Minimum Frequency", min = 0, max = 100, value = 5, step = 1), - ), - column(6, - numericInput("trendNItems", label = "Number of Words per Year", min = 1, max = 20, step = 1, value = 3) - ))), - br(), - selectInput( - 'TTdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.TTdpi != 'null'", - sliderInput( - 'TTh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("TTplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Coupling ---- conditionalPanel(condition = 'input.sidebarmenu == "coupling"', h4(em(strong(" "))), diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 98029ea0..eb6a88cc 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -479,7 +479,7 @@ body <- dashboardBody( div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostRelSourcesK", label=("Number of Sources"), @@ -538,7 +538,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostRelCitSourcesK", label=("Number of Sources"), @@ -629,7 +629,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("HmeasureSources", label = "Impact measure", @@ -695,7 +695,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("cumSO", "Occurrences", choices = c("Cumulate" = "Cum", @@ -757,7 +757,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostRelAuthorsK", label=("Number of Authors"), @@ -821,7 +821,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostCitAuthorsK", label=("Number of Authors"), @@ -877,7 +877,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("TopAuthorsProdK", label=("Number of Authors"), @@ -971,7 +971,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("HmeasureAuthors", label = "Impact measure", @@ -1035,7 +1035,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("disAff", label = "Affiliation Name Disambiguation", @@ -1097,7 +1097,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("topAFF", label = "Number of Affiliations", min = 1, max = 50, step = 1, value = 5), @@ -1153,7 +1153,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostRelCountriesK", label=("Number of Countries"), @@ -1242,7 +1242,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), sliderInput("topCO", label = "Number of Countries", min = 1, max = 50, step = 1, value = 5), @@ -1298,7 +1298,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("CitCountriesMeasure", label = "Measure", @@ -1361,7 +1361,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostCitDocsK", label=("Number of Documents"), @@ -1423,7 +1423,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostLocCitDocsK", label=("Number of Documents"), @@ -1486,7 +1486,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), numericInput("MostCitRefsK", label=("Number of Documents"), @@ -1550,7 +1550,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput(inputId = "rpysSep", label = "Field separator character", @@ -1625,7 +1625,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("MostRelWords", "Field", choices = c("Keywords Plus" = "ID", @@ -1743,7 +1743,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("summaryTerms", "Field", choices = c("Keywords Plus" = "ID", @@ -1906,7 +1906,7 @@ body <- dashboardBody( )), div(column(1, dropdown( - h4(strong("Parameters: ")), + h4(strong("Options: ")), br(), selectInput("treeTerms", "Field", choices = c("Keywords Plus" = "ID", @@ -2001,14 +2001,111 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Words' Frequency over Time"), align = "center")), - column(2, - actionButton("applyWD", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportWD", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyWD") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportWD") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "WDplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("growthTerms", "Field", + choices = c("Keywords Plus" = "ID", + "Author's keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.growthTerms == 'AB' |input.growthTerms == 'TI'", + selectInput("growthTermsngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("WDStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.WDStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("WDStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("WDSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("WDStopPreview")) + ), + selectInput("WDSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.WDSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("WDSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("WDSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("WDSynPreview")) + )), + br(), + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("cumTerms", "Occurrences", + choices = c("Cumulate" = "Cum", + "Per year" = "noCum"), + selected = "Cum"), + sliderInput("topkw", label = "Number of words", + min = 1, max = 100, step = 1, value = c(1,10))), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2029,14 +2126,118 @@ body <- dashboardBody( fluidRow( column(8, h2(strong("Trend Topics"), align = "center")), - column(2, - actionButton("applyTrendTopics", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportTT", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyTrendTopics") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportTT") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "TTplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("trendTerms", "Field", + choices = c("Keywords Plus" = "ID", + "Author's keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'", + selectInput("trendTermsngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + conditionalPanel( + condition = "input.trendTerms == 'TI' | input.trendTerms == 'AB'", + selectInput("trendStemming", label="Word Stemming", + choices = c("Yes" = TRUE, + "No" = FALSE), + selected = FALSE)), + uiOutput("trendSliderPY"), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("TTStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TTStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("TTStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TTSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TTStopPreview")) + ), + selectInput("TTSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TTSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("TTSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TTSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TTSynPreview")) + )), + br(), + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput("trendMinFreq", label = "Word Minimum Frequency", min = 0, max = 100, value = 5, step = 1), + ), + column(6, + numericInput("trendNItems", label = "Number of Words per Year", min = 1, max = 20, step = 1, value = 3) + ))), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( From 9709bfc61dc1b3b2dbb9e6708da3d131396f5caf Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 5 Jan 2023 16:27:27 +0100 Subject: [PATCH 04/31] Work in Progress to remove right option dropMenu --- data/customTheme.rda | Bin 2717 -> 2717 bytes inst/biblioshiny/server.R | 355 +++++++++++++++++++------------------- inst/biblioshiny/ui.R | 243 ++++++++++++++++++++++++-- 3 files changed, 404 insertions(+), 194 deletions(-) diff --git a/data/customTheme.rda b/data/customTheme.rda index 91215ab0bbc808f9ec44273900f83bc97f1bac92..34fb737cb206538c5818d19db973f57f5f376437 100644 GIT binary patch literal 2717 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rownames = FALSE, extensions = c("Buttons"), - options = list(pageLength = 10, dom = 'Bfrtip', + options = list(pageLength = 3, dom = 'Bfrtip', + autoWidth = FALSE, scrollX = TRUE, buttons = list('pageLength', list(extend = 'copy'), list(extend = 'csv', @@ -5263,181 +5266,181 @@ server <- function(input, output,session){ column(width = 1), column(width=11, ### Load Data ---- - conditionalPanel(condition = 'input.sidebarmenu == "loadData"', - h3(strong("Import or Load ")), - selectInput( - "load", - label = "Please, choose what to do", - choices = c( - " " = "null", - "Import raw file(s)" = "import", - "Load bibliometrix file(s)" = "load", - "Use a sample collection" = "demo" - ), - selected = "null" - ), - conditionalPanel( - condition = "input.load == 'demo'", - helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), - h5(strong("Dataset 'Management'")), - em("A collection of scientific articles about the use of bibliometric approaches", - "in business and management disciplines."), - br(), - em("Period: 1985 - 2020 - , Source WoS.") - ) - ), - conditionalPanel( - condition = "input.load == 'import'", - selectInput( - "dbsource", - label = "Database", - choices = c( - "Web of Science (WoS/WoK)" = "isi", - "Scopus" = "scopus", - "Dimensions" = "dimensions", - "Lens.org" = "lens", - "PubMed" = "pubmed", - "Cochrane Library" = "cochrane" - ), - selected = "isi" - ) - ), - conditionalPanel( - condition = "input.load != 'null' & input.load != 'demo'", - conditionalPanel( - condition = "input.load == 'load'", - helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") - )), - fileInput( - "file1", - "Choose a file", - multiple = FALSE, - accept = c( - ".csv", - ".txt", - ".ciw", - ".bib", - ".xlsx", - ".zip", - ".xls", - ".rdata", - ".rda", - ".rds" - ) - ) - ), - conditionalPanel(condition = "input.load != 'null'", - actionButton("applyLoad", strong("START"), - style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%"), - width = "100%"), - tags$hr(), - uiOutput("textLog"), - tags$hr(), - h3(strong( - "Export collection" - )), - selectInput( - 'save_file', - 'Save as:', - choices = c( - ' ' = 'null', - 'Excel' = 'xlsx', - 'R Data Format' = 'RData' - ), - selected = 'null' - ), - conditionalPanel(condition = "input.save_file != 'null'", - downloadButton("collection.save", strong("Export"), - style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%") - ) - ), + # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', + # h3(strong("Import or Load ")), + # selectInput( + # "load", + # label = "Please, choose what to do", + # choices = c( + # " " = "null", + # "Import raw file(s)" = "import", + # "Load bibliometrix file(s)" = "load", + # "Use a sample collection" = "demo" + # ), + # selected = "null" + # ), + # conditionalPanel( + # condition = "input.load == 'demo'", + # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), + # h5(strong("Dataset 'Management'")), + # em("A collection of scientific articles about the use of bibliometric approaches", + # "in business and management disciplines."), + # br(), + # em("Period: 1985 - 2020 + # , Source WoS.") + # ) + # ), + # conditionalPanel( + # condition = "input.load == 'import'", + # selectInput( + # "dbsource", + # label = "Database", + # choices = c( + # "Web of Science (WoS/WoK)" = "isi", + # "Scopus" = "scopus", + # "Dimensions" = "dimensions", + # "Lens.org" = "lens", + # "PubMed" = "pubmed", + # "Cochrane Library" = "cochrane" + # ), + # selected = "isi" + # ) + # ), + # conditionalPanel( + # condition = "input.load != 'null' & input.load != 'demo'", + # conditionalPanel( + # condition = "input.load == 'load'", + # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") + # )), + # fileInput( + # "file1", + # "Choose a file", + # multiple = FALSE, + # accept = c( + # ".csv", + # ".txt", + # ".ciw", + # ".bib", + # ".xlsx", + # ".zip", + # ".xls", + # ".rdata", + # ".rda", + # ".rds" + # ) + # ) + # ), + # conditionalPanel(condition = "input.load != 'null'", + # actionButton("applyLoad", strong("START"), + # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # width = "100%"), + # width = "100%"), + # tags$hr(), + # uiOutput("textLog"), + # tags$hr(), + # h3(strong( + # "Export collection" + # )), + # selectInput( + # 'save_file', + # 'Save as:', + # choices = c( + # ' ' = 'null', + # 'Excel' = 'xlsx', + # 'R Data Format' = 'RData' + # ), + # selected = 'null' + # ), + # conditionalPanel(condition = "input.save_file != 'null'", + # downloadButton("collection.save", strong("Export"), + # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # width = "100%") + # ) + # ), ## Gathering Data ---- - conditionalPanel(condition = 'input.sidebarmenu == "gathData"', - h3(strong( - "Gather data using APIs " - )), - br(), - selectInput( - "dbapi", - label = "Database", - choices = c("DS Dimensions" = "ds", - "PubMed" = "pubmed"), - selected = "pubmed" - ), - ## Dimenions API - conditionalPanel( - condition = "input.dbapi == 'ds'", - br(), - actionButton("dsShow", h5(strong("1. Configure API request")), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - h5(tags$b("Your Query")), - verbatimTextOutput("queryLog2", placeholder = FALSE), - h5(tags$b("Documents returned using your query")), - verbatimTextOutput("sampleLog2", placeholder = FALSE), - ), - ### Pubmed API - conditionalPanel( - condition = "input.dbapi == 'pubmed'", - br(), - actionButton("pmShow", h5(strong("1. Configure API request")), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - h5(tags$b("Your Query")), - verbatimTextOutput("pmQueryLog2", placeholder = FALSE), - h5(tags$b("Documents returned using your query")), - verbatimTextOutput("pmSampleLog2", placeholder = FALSE), - ), - tags$hr(), - actionButton("apiApply", h5(strong("2. Download metadata")), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - tags$hr(), - h3(strong( - "Export a bibliometrix file " - )), - br(), - selectInput( - 'save_file_api', - 'Save as:', - choices = c( - ' ' = 'null', - 'Excel' = 'xlsx', - 'R Data Format' = 'RData' - ), - selected = 'null' - ), - conditionalPanel(condition = "input.save_file_api != 'null'", - downloadButton("collection.save_api", strong("Export"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', + # h3(strong( + # "Gather data using APIs " + # )), + # br(), + # selectInput( + # "dbapi", + # label = "Database", + # choices = c("DS Dimensions" = "ds", + # "PubMed" = "pubmed"), + # selected = "pubmed" + # ), + # ## Dimenions API + # conditionalPanel( + # condition = "input.dbapi == 'ds'", + # br(), + # actionButton("dsShow", h5(strong("1. Configure API request")), + # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # width = "100%"), + # h5(tags$b("Your Query")), + # verbatimTextOutput("queryLog2", placeholder = FALSE), + # h5(tags$b("Documents returned using your query")), + # verbatimTextOutput("sampleLog2", placeholder = FALSE), + # ), + # ### Pubmed API + # conditionalPanel( + # condition = "input.dbapi == 'pubmed'", + # br(), + # actionButton("pmShow", h5(strong("1. Configure API request")), + # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # width = "100%"), + # h5(tags$b("Your Query")), + # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), + # h5(tags$b("Documents returned using your query")), + # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), + # ), + # tags$hr(), + # actionButton("apiApply", h5(strong("2. Download metadata")), + # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # width = "100%"), + # tags$hr(), + # h3(strong( + # "Export a bibliometrix file " + # )), + # br(), + # selectInput( + # 'save_file_api', + # 'Save as:', + # choices = c( + # ' ' = 'null', + # 'Excel' = 'xlsx', + # 'R Data Format' = 'RData' + # ), + # selected = 'null' + # ), + # conditionalPanel(condition = "input.save_file_api != 'null'", + # downloadButton("collection.save_api", strong("Export"), + # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # width = "100%") + # ) + # ), ## Filters ---- - conditionalPanel(condition = 'input.sidebarmenu == "filters"', - h3(strong("Filters")), - br(), - actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - width = "100%", - icon = fa_i(name ="play")), - h5(" "), - box(h6(htmlOutput("textDim")), - width = "100%"), - br(), - uiOutput("selectLA"), - uiOutput("sliderPY"), - uiOutput("selectType"), - uiOutput("sliderTCpY"), - selectInput("bradfordSources", - label = "Source by Bradford Law Zones", - choices = c("Core Sources"="core", - "Core + Zone 2 Sources"="zone2", - "All Sources"="all"), - selected = "all") - ), + # conditionalPanel(condition = 'input.sidebarmenu == "filters"', + # h3(strong("Filters")), + # br(), + # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # width = "100%", + # icon = fa_i(name ="play")), + # h5(" "), + # box(h6(htmlOutput("textDim")), + # width = "100%"), + # br(), + # uiOutput("selectLA"), + # uiOutput("sliderPY"), + # uiOutput("selectType"), + # uiOutput("sliderTCpY"), + # selectInput("bradfordSources", + # label = "Source by Bradford Law Zones", + # choices = c("Core Sources"="core", + # "Core + Zone 2 Sources"="zone2", + # "All Sources"="all"), + # selected = "all") + # ), ## Annual Scientific Prod ---- ## Average Cit Per Year ---- diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index eb6a88cc..7565b935 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -180,7 +180,7 @@ body <- dashboardBody( div(p("For an introduction and live examples, visit the ", em(a("bibliometrix website.", href = "https://www.bibliometrix.org", target="_blank")), - style="text-align:center; font-size:20px;")), + style="text-align:center; font-size:20px;")) ) ) ) @@ -190,22 +190,125 @@ body <- dashboardBody( tabItem("loadData", fluidPage( fluidRow( - tags$head(tags$style( - HTML( - "table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover { + div( + tags$head(tags$style( + HTML( + "table.dataTable.hover tbody tr:hover, table.dataTable.display tbody tr:hover { background-color: #9c4242 !important; } " - ) - )), - tags$style( - HTML( - ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled { + ) + )), + tags$style( + HTML( + ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled { color: #000000 !important; }" + ) + ), + column(9, + shinycssloaders::withSpinner(DT::DTOutput("contents"))), + column(3, + fluidRow( + box( + width = "100%", + h3(strong("Import or Load ")), + selectInput("load", label = "Please, choose what to do", + choices = c( + " " = "null", + "Import raw file(s)" = "import", + "Load bibliometrix file(s)" = "load", + "Use a sample collection" = "demo" + ), + selected = "null" + ), + conditionalPanel( + condition = "input.load == 'demo'", + helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), + h5(strong("Dataset 'Management'")), + em("A collection of scientific articles about the use of bibliometric approaches", + "in business and management disciplines."), + br(), + em("Period: 1985 - 2020 + , Source WoS.")) + ), + conditionalPanel( + condition = "input.load == 'import'", + selectInput( + "dbsource", + label = "Database", + choices = c( + "Web of Science (WoS/WoK)" = "isi", + "Scopus" = "scopus", + "Dimensions" = "dimensions", + "Lens.org" = "lens", + "PubMed" = "pubmed", + "Cochrane Library" = "cochrane" + ), + selected = "isi" + ) + ), + conditionalPanel( + condition = "input.load != 'null' & input.load != 'demo'", + conditionalPanel( + condition = "input.load == 'load'", + helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") + )), + fileInput( + "file1", + "Choose a file", + multiple = FALSE, + accept = c( + ".csv", + ".txt", + ".ciw", + ".bib", + ".xlsx", + ".zip", + ".xls", + ".rdata", + ".rda", + ".rds" + ) + ) + ), + conditionalPanel(condition = "input.load != 'null'", + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 15px;", + align = "center", + width="100%", + actionBttn(inputId = "applyLoad", label = strong("Start"), + width = "100%", style = "pill", color = "primary", + icon = icon(name ="play", lib="glyphicon"))))) + ), + tags$hr(), + uiOutput("textLog"), + tags$hr(), + h3(strong( + "Export collection" + )), + selectInput( + 'save_file', + 'Save as:', + choices = c( + ' ' = 'null', + 'Excel' = 'xlsx', + 'R Data Format' = 'RData' + ), + selected = 'null' + ), + conditionalPanel(condition = "input.save_file != 'null'", + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 15px;", + align = "center", + width="100%", + downloadBttn(outputId = "collection.save", label = strong("Export"), + #width = "100%", + style = "pill", color = "primary")))) + ) + ) + ) ) - ), - shinycssloaders::withSpinner(DT::DTOutput("contents") ) ) ) @@ -220,24 +323,128 @@ body <- dashboardBody( background-color: #9c4242 !important; } " - ) - ) - ), + ))), tags$style( HTML( ".dataTables_wrapper .dataTables_length, .dataTables_wrapper .dataTables_filter, .dataTables_wrapper .dataTables_info, .dataTables_wrapper .dataTables_processing,.dataTables_wrapper .dataTables_paginate .paginate_button, .dataTables_wrapper .dataTables_paginate .paginate_button.disabled { color: #000000 !important; }" - ) - ), - shinycssloaders::withSpinner(DT::DTOutput("apiContents")) + )), + column(9,shinycssloaders::withSpinner(DT::DTOutput("apiContents"))), + column(3, + box( + width = "100%", + h3(strong( + "Gather data using APIs " + )), + br(), + selectInput( + "dbapi", + label = "Database", + choices = c("DS Dimensions" = "ds", + "PubMed" = "pubmed"), + selected = "pubmed" + ), + ## Dimenions API + conditionalPanel( + condition = "input.dbapi == 'ds'", + br(), + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + actionBttn(inputId = "dsShow", label ="1. Configure API", + style = "pill", color = "primary", + icon = icon(name ="sliders"))))), + #h5(tags$b("Your Query")), + verbatimTextOutput("queryLog2", placeholder = FALSE), + h5(tags$b("Documents returned using your query")), + verbatimTextOutput("sampleLog2", placeholder = FALSE) + ), + ### Pubmed API + conditionalPanel( + condition = "input.dbapi == 'pubmed'", + br(), + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + actionBttn(inputId = "pmShow", label ="1. Configure API", + style = "pill", color = "primary", + icon = icon(name ="sliders"))))), + #h5(tags$b("Your Query")), + verbatimTextOutput("pmQueryLog2", placeholder = FALSE), + h5(tags$b("Documents returned using your query")), + verbatimTextOutput("pmSampleLog2", placeholder = FALSE), + ), + tags$hr(), + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + actionBttn(inputId = "apiApply", label = "2. Download", + style = "pill", color = "primary", + icon(name ="download"))))), + tags$hr(), + h3(strong("Export a bibliometrix file ")), + br(), + selectInput( + 'save_file_api', + 'Save as:', + choices = c( + ' ' = 'null', + 'Excel' = 'xlsx', + 'R Data Format' = 'RData' + ), + selected = 'null' + ), + conditionalPanel(condition = "input.save_file_api != 'null'", + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 15px;", + align = "center", + width="100%", + downloadBttn(outputId = "collection.save_api", label = strong("Export"), + style = "pill", color = "primary")))) + ) + ) + + ) ) ) ), #### Filters ---- tabItem("filters", fluidRow( - DT::DTOutput("dataFiltered")) + column(9,DT::DTOutput("dataFiltered")), + column(3, + box( + width = "100%", + h3(strong("Filters")), + br(), + fluidRow(column(12, + div(style ="border-radius: 10px; border-width: 3px; font-size: 15px;", + align = "center", + width="100%", + actionBttn(inputId = "applyFilter", label = strong("Apply"), + width = "100%", style = "pill", color = "primary", + icon = icon(name ="play", lib="glyphicon"))))), + h5(" "), + box(h6(htmlOutput("textDim")), + width = "100%"), + br(), + uiOutput("selectLA"), + uiOutput("sliderPY"), + uiOutput("selectType"), + uiOutput("sliderTCpY"), + selectInput("bradfordSources", + label = "Source by Bradford Law Zones", + choices = c("Core Sources"="core", + "Core + Zone 2 Sources"="zone2", + "All Sources"="all"), + selected = "all") + ) + ) + ) ), #### Overview ---- ##### main information ---- From 12c9915c33e7396279ac95eb2512c1a6fb48a332 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Fri, 6 Jan 2023 16:52:29 +0100 Subject: [PATCH 05/31] New buttons for Options --- R/thematicEvolution.R | 2 +- inst/biblioshiny/server.R | 1453 +++++-------------------------------- inst/biblioshiny/ui.R | 1440 +++++++++++++++++++++++++++++++++--- man/thematicEvolution.Rd | 2 +- 4 files changed, 1502 insertions(+), 1395 deletions(-) diff --git a/R/thematicEvolution.R b/R/thematicEvolution.R index 0648fa7a..5693e738 100644 --- a/R/thematicEvolution.R +++ b/R/thematicEvolution.R @@ -11,7 +11,7 @@ #' #' @param M is a bibliographic data frame obtained by the converting function \code{\link{convert2df}}. #' @param field is a character object. It indicates the content field to use. Field can be one of c=("ID","DE","TI","AB"). Default value is \code{field="ID"}. -#' @param years is a numeric vector of two or more unique cut points. +#' @param years is a numeric vector of one or more unique cut points. #' @param n is numerical. It indicates the number of words to use in the network analysis #' @param minFreq is numerical. It indicates the min frequency of words included in to a cluster. #' @param ngrams is an integer between 1 and 4. It indicates the type of n-gram to extract from texts. diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index d0ca1184..b08c97e4 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -22,9 +22,14 @@ server <- function(input, output,session){ values$myChoices <- "Empty Report" values$logo <- logo values$logoGrid <- grid::rasterGrob(logo,interpolate = TRUE) + + ### setting values values$dpi <- 300 values$h <- 7 values$w <- 14 + values$path <- paste(getwd(),"/", sep="") + ### + values$results <- list("NA") values$log <- "working..." values$load="FALSE" @@ -3742,12 +3747,6 @@ server <- function(input, output,session){ contentType = "html" ) - ### save coc network as png ### - observeEvent(input$cocPlot.save, { - file <- paste("Co_occurrence_Network-", Sys.Date(), ".png", sep="") - screenshot(selector="#cocPlot", scale=input$cocRes, filename=file) - }) - output$cocTable <- DT::renderDT({ COCnetwork() cocData=values$cocnet$cluster_res @@ -3821,45 +3820,114 @@ server <- function(input, output,session){ } }) - output$FA1plot.save <- downloadHandler( - filename = function() { - paste("FactorialMap-", Sys.Date(), ".png", sep="") - }, - content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_terms, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") - }, - contentType = "png" - ) - - output$FA2plot.save <- downloadHandler( + output$FAplot.save <- downloadHandler( filename = function() { - paste("Dendrogram-", Sys.Date(), ".png", sep="") - }, - content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_dendogram,dpi = values$dpi, height = values$h, width = values$h*2, bg="white") - }, - contentType = "png" - ) - - output$FA3plot.save <- downloadHandler( - filename = function() { - paste("MostContribDocuments-", Sys.Date(), ".png", sep="") + # + paste("FactorialAnalysis_", Sys.Date(), ".zip", sep="") }, content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_documents_Contrib, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + #go to a temp dir to avoid permission issues + owd <- setwd(tempdir()) + on.exit(setwd(owd)) + files <- c(paste("FactorialMap_", Sys.Date(), ".png", sep=""), + paste("Dendrogram_", Sys.Date(), ".png", sep=""), + paste("MostContribDocuments_", Sys.Date(), ".png", sep=""), + paste("MostCitedDocuments_", Sys.Date(), ".png", sep="") + ) + ggsave(filename = files[1], plot = values$CS$graph_terms, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + ggsave(filename = files[2], plot = values$CS$graph_dendogram,dpi = values$dpi, height = values$h, width = values$h*2, bg="white") + ggsave(filename = files[3], plot = values$CS$graph_documents_Contrib, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + ggsave(filename = files[4], plot = values$CS$graph_documents_TC, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + + zip(file,files) }, - contentType = "png" + contentType = "zip" ) - output$FA4plot.save <- downloadHandler( - filename = function() { - paste("MostCitedDocuments-", Sys.Date(), ".png", sep="") - }, - content <- function(file) { - ggsave(filename = file, plot = values$CS$graph_documents_TC, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") - }, - contentType = "png" - ) + # saveFAModal <- function(session) { + # ns <- session$ns + # modalDialog( + # h3(strong("Download Plots in PNG")), + # br(), + # h4("Factorial Map"), + # div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + # #align = "center", + # width="100%", + # downloadBttn(outputId = "FA1plot.save", label = (" "), + # style = "pill", color = "primary")), + # br(), + # h4("Dendrogram"), + # div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + # #align = "center", + # width="100%", + # downloadBttn(outputId = "FA2plot.save", label = (" "), + # style = "pill", color = "primary")), + # br(), + # h4("Most Contributing Docs"), + # div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + # #align = "center", + # width="100%", + # downloadBttn(outputId = "FA3plot.save", label = (" "), + # style = "pill", color = "primary")), + # br(), + # h4("Most Cited Docs"), + # div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + # #align = "center", + # width="100%", + # downloadBttn(outputId = "FA4plot.save", label = (" "), + # style = "pill", color = "primary")), + # size = "s", + # easyClose = TRUE, + # footer = tagList( + # modalButton("Close")), + # ) + # } + # + # observeEvent(input$FAplot.save, { + # if (input$sidebarmenu=="factorialAnalysis"){ + # showModal(saveFAModal(session)) + # } + # }) + + # output$FA1plot.save <- downloadHandler( + # filename = function() { + # paste("FactorialMap-", Sys.Date(), ".png", sep="") + # }, + # content <- function(file) { + # ggsave(filename = file, plot = values$CS$graph_terms, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + # }, + # contentType = "png" + # ) + # + # output$FA2plot.save <- downloadHandler( + # filename = function() { + # paste("Dendrogram-", Sys.Date(), ".png", sep="") + # }, + # content <- function(file) { + # ggsave(filename = file, plot = values$CS$graph_dendogram,dpi = values$dpi, height = values$h, width = values$h*2, bg="white") + # }, + # contentType = "png" + # ) + # + # output$FA3plot.save <- downloadHandler( + # filename = function() { + # paste("MostContribDocuments-", Sys.Date(), ".png", sep="") + # }, + # content <- function(file) { + # ggsave(filename = file, plot = values$CS$graph_documents_Contrib, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + # }, + # contentType = "png" + # ) + # + # output$FA4plot.save <- downloadHandler( + # filename = function() { + # paste("MostCitedDocuments-", Sys.Date(), ".png", sep="") + # }, + # content <- function(file) { + # ggsave(filename = file, plot = values$CS$graph_documents_TC, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") + # }, + # contentType = "png" + # ) output$CSPlot1 <- renderPlot({ CSfactorial() @@ -4219,8 +4287,12 @@ server <- function(input, output,session){ ### end of block values$yearSlices <- as.numeric() - for (i in 1:as.integer(input$numSlices)){ - if (length(input[[paste0("Slice", i)]])>0){values$yearSlices=c(values$yearSlices,input[[paste0("Slice", i)]])} + if (is.null(values$nexus)){ + values$yearSlices <- median(values$M$PY, na.rm=TRUE) + }else{ + for (i in 1:as.integer(input$numSlices)){ + if (length(input[[paste0("Slice", i)]])>0){values$yearSlices <- c(values$yearSlices,input[[paste0("Slice", i)]])} + } } if (length(values$yearSlices)>0){ @@ -4280,6 +4352,14 @@ server <- function(input, output,session){ ggsave(filename = fileName, plot = values$nexus$TM[[i]]$map, dpi = values$dpi, height = values$h, width = values$h*1.5, bg="white") files <- c(fileName,files) } + screenshot( + filename = paste("ThematicEvolution_", Sys.Date(), ".png", sep=""), + id = "TEPlot", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) zip(file,files) }, contentType = "zip" @@ -4861,11 +4941,6 @@ server <- function(input, output,session){ contentType = "net" ) - observeEvent(input$cocitPlot.save, { - file <- paste("Co_citation_Network-", Sys.Date(), ".png", sep="") - screenshot(selector="#cocitPlot", scale=input$cocitRes, filename=file) - }) - output$cocitTable <- DT::renderDT({ COCITnetwork() cocitData=values$cocitnet$cluster_res @@ -4935,12 +5010,6 @@ server <- function(input, output,session){ }) }) - ### screenshot Button Historiograph - observeEvent(input$HGplot.save, { - file <- paste("Historiograph-", Sys.Date(), ".png", sep="") - screenshot(selector="#histPlotVis", scale=input$HGh, filename=file) - }) - output$histPlotVis <- renderVisNetwork({ g <- Hist() values$histPlotVis<-hist2vis(values$histPlot,curved=FALSE, @@ -5030,11 +5099,6 @@ server <- function(input, output,session){ contentType = "net" ) - observeEvent(input$colPlot.save, { - file <- paste("Collaboration_Network-", Sys.Date(), ".png", sep="") - screenshot(selector="#colPlot", scale=input$colRes, filename=file) - }) - output$colTable <- DT::renderDT({ COLnetwork() colData=values$colnet$cluster_res @@ -5498,1243 +5562,23 @@ server <- function(input, output,session){ ## Trend Topic ---- ## Coupling ---- - conditionalPanel(condition = 'input.sidebarmenu == "coupling"', - h4(em(strong(" "))), - " ", - selectInput("CManalysis", - label = "Unit of Analysis", - choices = c("Documents" = "documents", - "Authors" = "authors", - "Sources" = "sources"), - selected = "documents"), - " ", - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput("CMfield", - label = "Coupling measured by", - choices = c("References" ="CR", - "Keywords Plus" = "ID", - "Author's Keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB"), - selected = "CR"), - conditionalPanel(condition = "input.CMfield == 'TI' | input.CMfield == 'AB'", - selectInput("CMstemming", label="Word Stemming", - choices = c("Yes" = TRUE, - "No" = FALSE), - selected = FALSE)), - selectInput("CMimpact", - label = "Impact measure", - choices = c("Local Citation Score" = "local", - "Global Citation Score" = "global"), - selected = "local"), - selectInput("CMlabeling", - label = "Cluster labeling by", - choices = c("None" = "none", - "Keyword Plus" = "ID", - "Authors' keywords" = "DE", - "Title terms" = "TI", - "Abstract terms" = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.CMlabeling == 'TI' | input.CMlabeling == 'AB'", - selectInput("CMngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - fluidRow(column(6, - numericInput("CMn", label="Number of Units\n ",value=250,min=50,max=5000,step=1)), - column(6, - numericInput("CMfreq", label="Min Cluster Freq. ",value=5,min=1,max=100,step=1))), - fluidRow(column(6, - numericInput("CMn.labels", label="Labels per cluster",value=3,min=1,max=10,step=1)), - column(6, - numericInput("sizeCM", label="Label size",value=0.3,min=0.0,max=1,step=0.05))), - fluidRow(column(6, - numericInput("CMrepulsion", label="Community Repulsion",value=0,min=0,max=1,step=0.01)), - column(6, - selectInput("CMcluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - )) - ), - selectInput( - 'CMdpi', - h4(strong( - "Export plot" - )), - choices=c( - "Dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.CMdpi != 'null'", - sliderInput( - 'CMh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("CMplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Co-Occurence Network ---- - conditionalPanel(condition = 'input.sidebarmenu == "coOccurenceNetwork"', - selectInput("field", - "Field", - choices = c("Keywords Plus" = "ID", - "Author's Keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB", - "Subject Categories (WoS)" = "WC"), - selected = "ID"), - conditionalPanel(condition = "input.field == 'TI' | input.field == 'AB'", - selectInput("cocngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("COCStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.COCStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("COCStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("COCSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("COCStopPreview")) - ), - selectInput("COCSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.COCSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("COCSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("COCSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("COCSynPreview")) - )), - br(), - box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - selectInput("layout", - label = "Network Layout", - choices = c("Automatic layout"="auto", - "Circle"="circle", - "Fruchterman & Reingold"="fruchterman", - "Kamada & Kawai"="kamada", - "MultiDimensional Scaling"="mds", - "Sphere"="sphere", - "Star"="star"), - selected = "auto") - ), - column(6, - selectInput("cocCluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - )), - fluidRow(column(6, - selectInput("normalize", - label = "Normalization", - choices = c("none", - "association", - "jaccard", - "salton", - "inclusion", - "equivalence"), - selected = "association") - ), - column(6, - selectInput("cocyears", - label = "Node Color by Year", - choices = c("No" = "No", - "Yes"= "Yes"), - selected = "No") - ) - ), - fluidRow(column(6, - numericInput(inputId = "Nodes", - label = "Number of Nodes", - min = 5, - max = 1000, - value = 50, - step = 1) - ), - column(6, - numericInput(inputId = "coc.repulsion", - label = "Repulsion Force", - min = 0, - max = 1, - value = 0.1, - step = 0.1) - )), - fluidRow(column(6, - selectInput(inputId ="coc.isolates", - label = "Remove Isolated Nodes", - choices = c("Yes" = "yes", - "No" = "no"), - selected = "yes") - ), - column(6, - numericInput("edges.min", - label=("Minimum Number of Edges"), - value = 2, - step = 1, - min = 0) - ) - )), - br(), - box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput(inputId = "cocAlpha", - label = "Opacity", - min = 0, - max = 1, - value = 0.7, - step=0.05) - ), - column(6, - numericInput(inputId = "Labels", - label = "Number of labels", - min = 0, - max = 1000, - value = 1000, - step = 1) - )), - fluidRow(column(6, - selectInput(inputId ="label.cex", - label = "Label cex", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="coc.shape", - label = "Node Shape", - choices = c( - "Box"="box", - "Circle"="circle", - "Dot"="dot", - "Ellipse"="ellipse", - "Square"="square", - "Text"="text"), - selected = "dot") - )), - fluidRow(column(6, - numericInput(inputId = "labelsize", - label = "Label size", - min = 0.0, - max = 20, - value = 3, - step = 0.10) - ), - column(6, - numericInput( - inputId = "edgesize", - label = "Edge size", - min = 0.0, - max = 20, - value = 5, - step=0.5) - )), - fluidRow(column(6, - selectInput(inputId ="coc.shadow", - label = "Node shadow", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="coc.curved", - label = "Edit Nodes", - choices = c("Yes", - "No"), - selected = "No") - - ) - ) - ), - br(), - fluidRow(column(6, - downloadButton("network.coc", strong("Save Pajek"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - ), - column(6, - downloadButton("networkCoc.fig", strong("Save HTML"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - ) - ), - br(), - selectInput("cocRes", - h4(strong("Export plot")), - choices = c( - "Select the image scale" = 0, - "screen resolution x1" = 1, - "screen resolution x2" = 2, - "screen resolution x3" = 3, - "screen resolution x4" = 4, - "screen resolution x5" = 5, - "screen resolution x6" = 6, - "screen resolution x7" = 7, - "screen resolution x8" = 8 - ), - selected = 0), - conditionalPanel(condition = "input.cocRes != 0", - actionButton("cocPlot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Thematic Map ---- - conditionalPanel(condition = 'input.sidebarmenu == "thematicMap"', - h4(em(strong(" "))), - " ", - selectInput("TMfield", - label = "Field", - choices = c("Keywords Plus" = "ID", - "Author's Keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.TMfield == 'TI' | input.TMfield == 'AB'", - selectInput("TMngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - conditionalPanel( - condition = "input.TMfield == 'TI' | input.TMfield == 'AB'", - selectInput("TMstemming", label="Word Stemming", - choices = c("Yes" = TRUE, - "No" = FALSE), - selected = FALSE)), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("TMStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TMStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("TMStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TMSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TMStopPreview")) - ), - selectInput("TMapSynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TMapSynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("TMapSyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TMapSynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TMapSynPreview")) - )), - br(), - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput("TMn", label="Number of Words",value=250,min=50,max=5000,step=1) - ), - column(6, - numericInput("TMfreq", label="Min Cluster Frequency (per thousand docs)",value=5,min=1,max=100,step=1) - )), - fluidRow(column(6, - numericInput("TMn.labels", label="Number of Labels",value=3,min=0,max=10,step=1) - ), - column(6, - numericInput("sizeTM", label="Label size",value=0.3,min=0.0,max=1,step=0.05) - )), - fluidRow(column(6, - numericInput("TMrepulsion", label="Community Repulsion",value=0,min=0,max=1,step=0.01)), - column(6, - selectInput("TMCluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - ) - ) - ), - br(), - selectInput( - 'TMdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.TMdpi != 'null'", - sliderInput( - 'TMh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("TMplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Thematic Evolution ---- - conditionalPanel(condition = 'input.sidebarmenu == "thematicEvolution"', - h4(em(strong(" "))), - " ", - selectInput("TEfield", - label = "Field", - choices = c("Keywords Plus" = "ID", - "Author's Keywords" = "DE", - "Titles" = "TI", - "Abstracts - " = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.TEfield == 'TI' | input.TEfield == 'AB'", - selectInput("TEngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("TEStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TEStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("TEStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TESep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TEStopPreview")) - ), - selectInput("TESynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.TESynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("TESyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("TESynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("TESynPreview")) - )), - br(), - box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput("nTE", label="Number of Words",value=250,min=50,max=5000,step=1) - ), - column(6, - numericInput("fTE", label="Min Cluster Frequency (per thousand docs)",value=5,min=1,max=100,step=1) - )), - fluidRow(column(6, - selectInput("TEmeasure", - label = "Weight index", - choices = c("Inclusion Index" = "inclusion", - "Inclusion Index weighted by Word-Occurrences" = "weighted", - "Stability Index" = "stability" - ), - selected = "weighted") - ), - column(6, - numericInput("minFlowTE", label="Min Weight Index",value=0.1,min=0.02,max=1,step=0.02) - )), - fluidRow(column(6, - numericInput("sizeTE", label="Label size",value=0.3,min=0.0,max=1,step=0.05) - ), - column(6, - numericInput("TEn.labels", label="Number of Labels (for each cluster)",value=3,min=1,max=5,step=1) - )), - fluidRow(column(12, - selectInput("TECluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - ) - - ) - ), - br(), - box(title = p(strong("Time Slices"),style='font-size:16px;color:black;'), - collapsible = FALSE, width = 15, - solidHeader = FALSE, collapsed = FALSE, - numericInput("numSlices", label="Number of Cutting Points",min=1,max=4,value=1), - "Please, write the cutting points (in year) for your collection", - uiOutput("sliders") - ), - br(), - selectInput( - 'TEdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.TEdpi != 'null'", - sliderInput( - 'TEh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("TEplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Factorial Analysis ---- - conditionalPanel(condition = 'input.sidebarmenu == "factorialAnalysis"', - selectInput("method", - label = "Method", - choices = c("Correspondence Analysis" = "CA", - "Multiple Correspondence Analysis" = "MCA", - "Multidimensional Scaling"= "MDS"), - selected = "MCA"), - selectInput("CSfield", - label = "Field", - choices = c("Keywords Plus" = "ID", - "Author's Keywords" = "DE", - "Titles" = "TI", - "Abstracts" = "AB"), - selected = "ID"), - conditionalPanel(condition = "input.CSfield == 'TI' | input.CSfield == 'AB'", - selectInput("CSngrams",'N-Grams', - choices = c("Unigrams" = "1", - "Bigrams" = "2", - "Trigrams" = "3"), - selected = 1)), - br(), - box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - selectInput("CSStopFile", "Load a list of terms to remove", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.CSStopFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) - ), - fileInput("CSStop", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("CSSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("CSStopPreview")) - ), - selectInput("FASynFile", "Load a list of synonyms", - choices = c("Yes" = "Y", - "No" = "N"), - selected = "N"), - conditionalPanel(condition = "input.FASynFile == 'Y'", - helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), - h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). - Rows have to be separated by return separator.")) - ), - fileInput("FASyn", "", - multiple = FALSE, - accept = c("text/csv", - "text/comma-separated-values,text/plain", - ".csv", - ".txt")), - - selectInput("FASynSep", "File Separator", - choices = c('Comma ","' = ",", - 'Semicolon ";"' = ";", - 'Tab '= "\t"), - selected = ","), - h5(htmlOutput("FASynPreview")) - )), - br(), - box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput("CSn", - label=("Number of terms"), - value = 50, step = 1)), - column(6, - selectInput("nClustersCS", - label = "N. of Clusters", - choices = c("Auto" = "0", - "2" = "2", - "3" = "3", - "4" = "4", - "5" = "5", - "6" = "6", - "7" = "7", - "8" = "8"), - selected = "0"))) - ), - br(), - box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput( - inputId = "CSlabelsize", - label = "Label size", - min = 5, - max = 30, - value = 10)), - column(6, - numericInput("CSdoc", - label=("Num. of documents"), - value = 5))) - ), - br(), - selectInput( - 'FAdpi', - h4(strong( - "Export plots as png" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.FAdpi != 'null'", - sliderInput( - 'FAh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("FA1plot.save", strong("Term Factorial Map "), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - h4(" "), - downloadButton("FA2plot.save", strong("Topic Dendrogram "), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - h4(" "), - downloadButton("FA3plot.save", strong("Most Contributing Map "), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%"), - h4(" "), - downloadButton("FA4plot.save", strong("Most Cited Map "), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + ## Co-citation Network ---- - conditionalPanel(condition = 'input.sidebarmenu == "coCitationNetwork"', - selectInput("citField", - label = "Field", - choices = c("Papers" = "CR", - "Authors" = "CR_AU", - "Sources" = "CR_SO"), - selected = "CR"), - selectInput(inputId = "citSep", - label = "Field separator character", - choices = c('";" (Semicolon)' = ";", - '". " (Dot and 3 or more spaces)' = ". ", - '"," (Comma)' = ","), - selected = "';'"), - br(), - box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - selectInput("citlayout", - label = "Network Layout", - choices = c("Automatic layout"="auto", - "Circle"="circle", - "Fruchterman & Reingold"="fruchterman", - "Kamada & Kawai"="kamada", - "MultiDimensional Scaling"="mds", - "Sphere"="sphere", - "Star"="star"), - selected = "auto") - ), - column(6, - selectInput("cocitCluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - )), - fluidRow(column(6, - numericInput(inputId = "citNodes", - label = "Number of Nodes", - min = 5, - max = 1000, - value = 50, - step = 1) - ), - column(6, - numericInput(inputId = "cocit.repulsion", - label = "Repulsion Force", - min = 0, - max = 1, - value = 0.1, - step = 0.1) - )), - fluidRow(column(6, - selectInput(inputId ="cit.isolates", - label = "Remove Isolated Nodes", - choices = c("Yes" = "yes", - "No" = "no"), - selected = "yes") - ), - column(6, - numericInput("citedges.min", - label=("Minimum Number of Edges"), - value = 2, - step = 1, - min = 0) - ) - )), - br(), - box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - selectInput(inputId ="citShortlabel", - label = "Short Label", - choices = c("Yes", - "No"), - selected = "Yes"), - - ), - column(6, - numericInput(inputId = "citLabels", - label = "Number of labels", - min = 0, - max = 1000, - value = 1000, - step = 1) - )), - fluidRow(column(6, - selectInput(inputId ="citlabel.cex", - label = "Label cex", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="cocit.shape", - label = "Node Shape", - choices = c( - "Box"="box", - "Circle"="circle", - "Dot"="dot", - "Ellipse"="ellipse", - "Square"="square", - "Text"="text"), - selected = "dot") - )), - fluidRow(column(6, - numericInput(inputId = "citlabelsize", - label = "Label size", - min = 0.0, - max = 20, - value = 2, - step = 0.10) - ), - column(6, - numericInput( - inputId = "citedgesize", - label = "Edge size", - min = 0.5, - max = 20, - value = 2, - step=0.5) - )), - fluidRow(column(6, - selectInput(inputId ="cocit.shadow", - label = "Node shadow", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="cocit.curved", - label = "Edit Nodes", - choices = c("Yes", - "No"), - selected = "No") - - ) - ) - ), - br(), - fluidRow(column(6, - downloadButton("network.cocit", strong("Save Pajek"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - ), - column(6, - downloadButton("networkCocit.fig", strong("Save HTML"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - )), - br(), - selectInput("cocitRes", - h4(strong("Export plot")), - choices = c( - "Select the image scale" = 0, - "screen resolution x1" = 1, - "screen resolution x2" = 2, - "screen resolution x3" = 3, - "screen resolution x4" = 4, - "screen resolution x5" = 5, - "screen resolution x6" = 6, - "screen resolution x7" = 7, - "screen resolution x8" = 8 - ), - selected = 0), - conditionalPanel(condition = "input.cocitRes != 0", - actionButton("cocitPlot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Historiograph ---- - conditionalPanel(condition = 'input.sidebarmenu == "historiograph"', - numericInput(inputId = "histNodes", - label = "Number of Nodes", - min = 5, - max = 100, - value = 20, - step = 1), - " ", - br(), - box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, - collapsed = FALSE, - selectInput(inputId = "titlelabel", - label = "Node label", - choices = c("Short id (1st Author, Year)" = "short", - "Document Title" = "title", - "Authors' Keywords" = "keywords", - "Keywords Plus" = "keywordsplus"), - selected = "short"), - fluidRow(column(6, - numericInput(inputId = "histlabelsize", - label = "Label size", - min = 0.0, - max = 20, - value = 3, step = 1)), - column(6, - numericInput(inputId = "histsize", - label = "Node size", - min = 0, - max = 20, - value = 4, step = 1))) - ), - br(), - selectInput("HGh", - h4(strong("Export plot")), - choices = c( - "Select the image scale" = 0, - "screen resolution x1" = 1, - "screen resolution x2" = 2, - "screen resolution x3" = 3, - "screen resolution x4" = 4, - "screen resolution x5" = 5, - "screen resolution x6" = 6, - "screen resolution x7" = 7, - "screen resolution x8" = 8 - ), - selected = 0), - conditionalPanel(condition = "input.HGh != 0", - actionButton("HGplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), - ## Collaboration Network ---- - conditionalPanel(condition = 'input.sidebarmenu == "collabNetwork"', - selectInput("colField", - label = "Field", - choices = c("Authors" = "COL_AU", - "Institutions" = "COL_UN", - "Countries" = "COL_CO"), - selected = "COL_AU"), - br(), - box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - selectInput("collayout", - label = "Network Layout", - choices = c("Automatic layout"="auto", - "Circle"="circle", - "Fruchterman & Reingold"="fruchterman", - "Kamada & Kawai"="kamada", - "MultiDimensional Scaling"="mds", - "Sphere"="sphere", - "Star"="star"), - selected = "auto") - ), - column(6, - selectInput("colCluster", - label = "Clustering Algorithm", - choices = c("None" = "none", - "Edge Betweenness" = "edge_betweenness", - "Fast Greedy" = "fast_greedy", - "InfoMap" = "infomap", - "Leading Eigenvalues" = "leading_eigen", - "Leiden" = "leiden", - "Louvain" = "louvain", - "Spinglass" = "spinglass", - "Walktrap" = "walktrap"), - selected = "walktrap") - )), - fluidRow(column(6, - selectInput("colnormalize", - label = "Normalization", - choices = c("none", - "association", - "jaccard", - "salton", - "inclusion", - "equivalence"), - selected = "association") - )), - fluidRow(column(6, - numericInput(inputId = "colNodes", - label = "Number of Nodes", - min = 5, - max = 1000, - value = 50, - step = 1) - ), - column(6, - numericInput(inputId = "col.repulsion", - label = "Repulsion Force", - min = 0, - max = 1, - value = 0.1, - step = 0.1) - )), - fluidRow(column(6, - selectInput(inputId ="col.isolates", - label = "Remove Isolated Nodes", - choices = c("Yes" = "yes", - "No" = "no"), - selected = "yes") - ), - column(6, - numericInput("coledges.min", - label=("Minimum Number of Edges"), - value = 1, - step = 1, - min = 0) - ) - )), - br(), - box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), - collapsible = TRUE, width = 15, - solidHeader = FALSE, collapsed = TRUE, - fluidRow(column(6, - numericInput(inputId = "colAlpha", - label = "Opacity", - min = 0, - max = 1, - value = 0.7, - step=0.05) - ), - column(6, - numericInput(inputId = "colLabels", - label = "Number of labels", - min = 0, - max = 1000, - value = 1000, - step = 1) - )), - fluidRow(column(6, - selectInput(inputId ="collabel.cex", - label = "Label cex", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="col.shape", - label = "Node Shape", - choices = c( - "Box"="box", - "Circle"="circle", - "Dot"="dot", - "Ellipse"="ellipse", - "Square"="square", - "Text"="text"), - selected = "dot") - )), - fluidRow(column(6, - numericInput(inputId = "collabelsize", - label = "Label size", - min = 0.0, - max = 20, - value = 2, - step = 0.10) - ), - column(6, - numericInput( - inputId = "coledgesize", - label = "Edge size", - min = 0.5, - max = 20, - value = 5, - step=0.5) - )), - fluidRow(column(6, - selectInput(inputId ="col.shadow", - label = "Node shadow", - choices = c("Yes", - "No"), - selected = "Yes") - ), - column(6, - selectInput(inputId ="soc.curved", - label = "Edit Nodes", - choices = c("Yes", - "No"), - selected = "No") - - )) - ), - br(), - fluidRow(column(6, - downloadButton("network.col", strong("Save Pajek"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - ), - column(6, - downloadButton("networkCol.fig", strong("Save HTML"), - style ="border-radius: 10px; border-width: 3px;font-size: 15px;", - width = "100%") - )), - br(), - selectInput("colRes", - h4(strong("Export plot")), - choices = c( - "Select the image scale" = 0, - "screen resolution x1" = 1, - "screen resolution x2" = 2, - "screen resolution x3" = 3, - "screen resolution x4" = 4, - "screen resolution x5" = 5, - "screen resolution x6" = 6, - "screen resolution x7" = 7, - "screen resolution x8" = 8 - ), - selected = 0), - conditionalPanel(condition = "input.colRes != 0", - actionButton("colPlot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ), + + # ## Historiograph ---- + + # ## Collaboration Network ---- + ## Collaboration World Map ---- - conditionalPanel(condition = 'input.sidebarmenu == "collabWorldMap"', - h4(strong("Method Parameters: ")), - " ", - numericInput("WMedges.min", - label=("Min edges"), - value = 2, - step = 1), - " ", - br(), - h4(strong("Graphical Parameters: ")), - " ", - sliderInput(inputId = "WMedgesize", - label = "Edge size", - min = 0.1, - max = 20, - value = 5), - br(), - selectInput( - 'CCdpi', - h4(strong( - "Export plot" - )), - choices=c( - "dpi value" = "null", - "75 dpi" = "75", - "150 dpi" = "150", - "300 dpi" = "300", - "600 dpi" = "600" - ), - selected = "null" - ), - conditionalPanel(condition = "input.CCdpi != 'null'", - sliderInput( - 'CCh', - h4(em(strong( - "Height (in inches)" - ))), - value = 7, min = 1, max = 20, step = 1), - downloadButton("CCplot.save", strong("Export plot as png"), - style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - width = "100%") - ) - ) + ) ) ) @@ -6776,6 +5620,39 @@ server <- function(input, output,session){ ) }) + observeEvent(input$screenCOCIT,{ + screenshot( + filename = paste("Co_occurrenceNetwork-", Sys.Date(), ".png", sep=""), + id = "cocitPlot", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + + observeEvent(input$screenHIST,{ + screenshot( + filename = paste("Historiograph-", Sys.Date(), ".png", sep=""), + id = "histPlotVis", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + + observeEvent(input$screenCOL,{ + screenshot( + filename = paste("Collaboration_Network-", Sys.Date(), ".png", sep=""), + id = "colPlot", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 7565b935..6f6c0952 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -451,7 +451,7 @@ body <- dashboardBody( tabItem("mainInfo", fluidPage( fluidRow(column(11, - h2(strong("Main Information"), align = "center")), + h3(strong("Main Information"), align = "center")), div(style=style_bttn, title = t_report, column(1, @@ -494,7 +494,7 @@ body <- dashboardBody( tabItem("annualScPr", fluidPage( fluidRow(column(10, - h2(strong("Annual Scientific Production"), align = "center")), + h3(strong("Annual Scientific Production"), align = "center")), div(style=style_bttn, title = t_report, column(1, @@ -527,7 +527,7 @@ body <- dashboardBody( tabItem("averageCitPerYear", fluidPage( fluidRow(column(10, - h2(strong("Average Citations Per Year"), align = "center")), + h3(strong("Average Citations Per Year"), align = "center")), div(style=style_bttn, title = t_report, column(1, @@ -560,7 +560,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Three-Field Plot"), align = "center")), + h3(strong("Three-Field Plot"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -661,7 +661,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Relevant Sources"), align = "center")), + h3(strong("Most Relevant Sources"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -720,7 +720,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Local Cited Sources"), align = "center")), + h3(strong("Most Local Cited Sources"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -778,7 +778,7 @@ body <- dashboardBody( fluidPage( fluidRow(column(10, #titlePanel( - h2(strong("Core Sources by Bradford's Law"), align = "center") + h3(strong("Core Sources by Bradford's Law"), align = "center") ), div(style=style_bttn, title = t_report, @@ -812,7 +812,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Sources' Local Impact"), align = "center")), + h3(strong("Sources' Local Impact"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -877,7 +877,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Sources' Production over Time"), align = "center")), + h3(strong("Sources' Production over Time"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -939,7 +939,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Relevant Authors"), align = "center")), + h3(strong("Most Relevant Authors"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1003,7 +1003,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Local Cited Authors"), align = "center")), + h3(strong("Most Local Cited Authors"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1061,7 +1061,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Authors' Production over Time"), align = "center")), + h3(strong("Authors' Production over Time"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1120,7 +1120,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(10, - h2(strong("Author Productivity through Lotka's Law"), align = "center") + h3(strong("Author Productivity through Lotka's Law"), align = "center") ), div(style=style_bttn, title = t_report, @@ -1154,7 +1154,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Authors' Local Impact"), align = "center")), + h3(strong("Authors' Local Impact"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1218,7 +1218,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Relevant Affiliations"), align = "center")), + h3(strong("Most Relevant Affiliations"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1280,7 +1280,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Affiliations' Production over Time"), align = "center")), + h3(strong("Affiliations' Production over Time"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1336,7 +1336,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Corresponding Author's Countries"), align = "center")), + h3(strong("Corresponding Author's Countries"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1392,7 +1392,7 @@ body <- dashboardBody( tabItem("countryScientProd", fluidPage( fluidRow(column(10, - h2(strong("Countries' Scientific Production"), align = "center")), + h3(strong("Countries' Scientific Production"), align = "center")), div(style=style_bttn, title = t_report, column(1, @@ -1425,7 +1425,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Countries' Production over Time"), align = "center")), + h3(strong("Countries' Production over Time"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1481,7 +1481,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Cited Countries"), align = "center")), + h3(strong("Most Cited Countries"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1544,7 +1544,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Global Cited Documents"), align = "center")), + h3(strong("Most Global Cited Documents"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1606,7 +1606,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Local Cited Documents"), align = "center")), + h3(strong("Most Local Cited Documents"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1669,7 +1669,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Local Cited References"), align = "center")), + h3(strong("Most Local Cited References"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -1732,7 +1732,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Reference Spectroscopy"), align = "center") + h3(strong("Reference Spectroscopy"), align = "center") ), div(style=style_bttn, title = t_run, @@ -1807,7 +1807,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Most Frequent Words"), align = "center") + h3(strong("Most Frequent Words"), align = "center") ), div(style=style_bttn, title = t_run, @@ -1926,7 +1926,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("WordCloud"), align = "center")), + h3(strong("WordCloud"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -2089,7 +2089,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("TreeMap"), align = "center")), + h3(strong("TreeMap"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -2207,7 +2207,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Words' Frequency over Time"), align = "center")), + h3(strong("Words' Frequency over Time"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -2332,7 +2332,7 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Trend Topics"), align = "center")), + h3(strong("Trend Topics"), align = "center")), div(style=style_bttn, title = t_run, column(1, @@ -2465,15 +2465,109 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Clustering by Coupling"), align = "center")), - column(2, - actionButton("applyCM", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportCC", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Clustering by Coupling"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCM") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCC") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "CMplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("CManalysis", + label = "Unit of Analysis", + choices = c("Documents" = "documents", + "Authors" = "authors", + "Sources" = "sources"), + selected = "documents"), + " ", + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, + collapsed = FALSE, + selectInput("CMfield", + label = "Coupling measured by", + choices = c("References" ="CR", + "Keywords Plus" = "ID", + "Author's Keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB"), + selected = "CR"), + conditionalPanel(condition = "input.CMfield == 'TI' | input.CMfield == 'AB'", + selectInput("CMstemming", label="Word Stemming", + choices = c("Yes" = TRUE, + "No" = FALSE), + selected = FALSE)), + selectInput("CMimpact", + label = "Impact measure", + choices = c("Local Citation Score" = "local", + "Global Citation Score" = "global"), + selected = "local"), + selectInput("CMlabeling", + label = "Cluster labeling by", + choices = c("None" = "none", + "Keyword Plus" = "ID", + "Authors' keywords" = "DE", + "Title terms" = "TI", + "Abstract terms" = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.CMlabeling == 'TI' | input.CMlabeling == 'AB'", + selectInput("CMngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + fluidRow(column(6, + numericInput("CMn", label="Number of Units\n ",value=250,min=50,max=5000,step=1)), + column(6, + numericInput("CMfreq", label="Min Cluster Freq. ",value=5,min=1,max=100,step=1))), + fluidRow(column(6, + numericInput("CMn.labels", label="Labels per cluster",value=3,min=1,max=10,step=1)), + column(6, + numericInput("sizeCM", label="Label size",value=0.3,min=0.0,max=1,step=0.05))), + fluidRow(column(6, + numericInput("CMrepulsion", label="Community Repulsion",value=0,min=0,max=1,step=0.01)), + column(6, + selectInput("CMcluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap") + )) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2499,15 +2593,271 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Co-occurrence Network"), align = "center")), - column(2, - actionButton("applyCoc", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportCOC", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Co-occurrence Network"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCoc") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCOC") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "cocPlot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("field", + "Field", + choices = c("Keywords Plus" = "ID", + "Author's Keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB", + "Subject Categories (WoS)" = "WC"), + selected = "ID"), + conditionalPanel(condition = "input.field == 'TI' | input.field == 'AB'", + selectInput("cocngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("COCStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.COCStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("COCStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("COCSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("COCStopPreview")) + ), + selectInput("COCSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.COCSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("COCSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("COCSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("COCSynPreview")) + )), + br(), + box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + selectInput("layout", + label = "Network Layout", + choices = c("Automatic layout"="auto", + "Circle"="circle", + "Fruchterman & Reingold"="fruchterman", + "Kamada & Kawai"="kamada", + "MultiDimensional Scaling"="mds", + "Sphere"="sphere", + "Star"="star"), + selected = "auto") + ), + column(6, + selectInput("cocCluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap") + )), + fluidRow(column(6, + selectInput("normalize", + label = "Normalization", + choices = c("none", + "association", + "jaccard", + "salton", + "inclusion", + "equivalence"), + selected = "association") + ), + column(6, + selectInput("cocyears", + label = "Node Color by Year", + choices = c("No" = "No", + "Yes"= "Yes"), + selected = "No") + ) + ), + fluidRow(column(6, + numericInput(inputId = "Nodes", + label = "Number of Nodes", + min = 5, + max = 1000, + value = 50, + step = 1) + ), + column(6, + numericInput(inputId = "coc.repulsion", + label = "Repulsion Force", + min = 0, + max = 1, + value = 0.1, + step = 0.1) + )), + fluidRow(column(6, + selectInput(inputId ="coc.isolates", + label = "Remove Isolated Nodes", + choices = c("Yes" = "yes", + "No" = "no"), + selected = "yes") + ), + column(6, + numericInput("edges.min", + label=("Minimum Number of Edges"), + value = 2, + step = 1, + min = 0) + ) + )), + br(), + box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput(inputId = "cocAlpha", + label = "Opacity", + min = 0, + max = 1, + value = 0.7, + step=0.05) + ), + column(6, + numericInput(inputId = "Labels", + label = "Number of labels", + min = 0, + max = 1000, + value = 1000, + step = 1) + )), + fluidRow(column(6, + selectInput(inputId ="label.cex", + label = "Label cex", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="coc.shape", + label = "Node Shape", + choices = c( + "Box"="box", + "Circle"="circle", + "Dot"="dot", + "Ellipse"="ellipse", + "Square"="square", + "Text"="text"), + selected = "dot") + )), + fluidRow(column(6, + numericInput(inputId = "labelsize", + label = "Label size", + min = 0.0, + max = 20, + value = 3, + step = 0.10) + ), + column(6, + numericInput( + inputId = "edgesize", + label = "Edge size", + min = 0.0, + max = 20, + value = 5, + step=0.5) + )), + fluidRow(column(6, + selectInput(inputId ="coc.shadow", + label = "Node shadow", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="coc.curved", + label = "Edit Nodes", + choices = c("Yes", + "No"), + selected = "No") + + ) + ) + ), + br(), + fluidRow(column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "network.coc", label = ("Pajek"), + style = "pill", color = "primary"))), + column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "networkCoc.fig", label = ("HTML"), + style = "pill", color = "primary"))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2528,14 +2878,143 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Thematic Map"), align = "center")), - column(2,actionButton("applyTM", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportTM", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Thematic Map"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyTM") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportTM") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "TMplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("TMfield", + label = "Field", + choices = c("Keywords Plus" = "ID", + "Author's Keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.TMfield == 'TI' | input.TMfield == 'AB'", + selectInput("TMngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + conditionalPanel( + condition = "input.TMfield == 'TI' | input.TMfield == 'AB'", + selectInput("TMstemming", label="Word Stemming", + choices = c("Yes" = TRUE, + "No" = FALSE), + selected = FALSE)), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("TMStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TMStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("TMStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TMSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TMStopPreview")) + ), + selectInput("TMapSynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TMapSynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("TMapSyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TMapSynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TMapSynPreview")) + )), + br(), + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput("TMn", label="Number of Words",value=250,min=50,max=5000,step=1) + ), + column(6, + numericInput("TMfreq", label="Min Cluster Frequency (per thousand docs)",value=5,min=1,max=100,step=1) + )), + fluidRow(column(6, + numericInput("TMn.labels", label="Number of Labels",value=3,min=0,max=10,step=1) + ), + column(6, + numericInput("sizeTM", label="Label size",value=0.3,min=0.0,max=1,step=0.05) + )), + fluidRow(column(6, + numericInput("TMrepulsion", label="Community Repulsion",value=0,min=0,max=1,step=0.01)), + column(6, + selectInput("TMCluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap") + ) + ) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2563,15 +3042,155 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Thematic Evolution"), align = "center")), - column(2,actionButton("applyTE", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play")) - ), - column(2, - actionButton("reportTE", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Thematic Evolution"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyTE") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportTE") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "TEplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("TEfield", + label = "Field", + choices = c("Keywords Plus" = "ID", + "Author's Keywords" = "DE", + "Titles" = "TI", + "Abstracts + " = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.TEfield == 'TI' | input.TEfield == 'AB'", + selectInput("TEngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("TEStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TEStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("TEStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TESep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TEStopPreview")) + ), + selectInput("TESynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.TESynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("TESyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("TESynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("TESynPreview")) + )), + br(), + box(title = p(strong("Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput("nTE", label="Number of Words",value=250,min=50,max=5000,step=1) + ), + column(6, + numericInput("fTE", label="Min Cluster Frequency (per thousand docs)",value=5,min=1,max=100,step=1) + )), + fluidRow(column(6, + selectInput("TEmeasure", + label = "Weight index", + choices = c("Inclusion Index" = "inclusion", + "Inclusion Index weighted by Word-Occurrences" = "weighted", + "Stability Index" = "stability" + ), + selected = "weighted") + ), + column(6, + numericInput("minFlowTE", label="Min Weight Index",value=0.1,min=0.02,max=1,step=0.02) + )), + fluidRow(column(6, + numericInput("sizeTE", label="Label size",value=0.3,min=0.0,max=1,step=0.05) + ), + column(6, + numericInput("TEn.labels", label="Number of Labels (for each cluster)",value=3,min=1,max=5,step=1) + )), + fluidRow(column(12, + selectInput("TECluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap")) + ) + ), + br(), + box(title = p(strong("Time Slices"),style='font-size:16px;color:black;'), + collapsible = FALSE, width = 15, + solidHeader = FALSE, collapsed = FALSE, + numericInput("numSlices", label="Number of Cutting Points",min=1,max=4,value=1), + "Please, write the cutting points (in year) for your collection", + uiOutput("sliders") + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2685,14 +3304,146 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Factorial Analysis"), align = "center")), - column(2,actionButton("applyCA", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportFA", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Factorial Analysis"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCA") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportFA") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "FAplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("method", + label = "Method", + choices = c("Correspondence Analysis" = "CA", + "Multiple Correspondence Analysis" = "MCA", + "Multidimensional Scaling"= "MDS"), + selected = "MCA"), + selectInput("CSfield", + label = "Field", + choices = c("Keywords Plus" = "ID", + "Author's Keywords" = "DE", + "Titles" = "TI", + "Abstracts" = "AB"), + selected = "ID"), + conditionalPanel(condition = "input.CSfield == 'TI' | input.CSfield == 'AB'", + selectInput("CSngrams",'N-Grams', + choices = c("Unigrams" = "1", + "Bigrams" = "2", + "Trigrams" = "3"), + selected = 1)), + br(), + box(title = p(strong("Text Editing"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + selectInput("CSStopFile", "Load a list of terms to remove", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.CSStopFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing a list of terms you want to remove from the analysis.")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator).")) + ), + fileInput("CSStop", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("CSSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("CSStopPreview")) + ), + selectInput("FASynFile", "Load a list of synonyms", + choices = c("Yes" = "Y", + "No" = "N"), + selected = "N"), + conditionalPanel(condition = "input.FASynFile == 'Y'", + helpText(h5(strong("Upload a TXT or CSV file containing, in each row, a list of synonyms, that will be merged into a single term (the first word contained in the row)")), + h5(("Terms have to be separated by a standard separator (comma, semicolon or tabulator). + Rows have to be separated by return separator.")) + ), + fileInput("FASyn", "", + multiple = FALSE, + accept = c("text/csv", + "text/comma-separated-values,text/plain", + ".csv", + ".txt")), + + selectInput("FASynSep", "File Separator", + choices = c('Comma ","' = ",", + 'Semicolon ";"' = ";", + 'Tab '= "\t"), + selected = ","), + h5(htmlOutput("FASynPreview")) + )), + br(), + box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput("CSn", + label=("Number of terms"), + value = 50, step = 1)), + column(6, + selectInput("nClustersCS", + label = "N. of Clusters", + choices = c("Auto" = "0", + "2" = "2", + "3" = "3", + "4" = "4", + "5" = "5", + "6" = "6", + "7" = "7", + "8" = "8"), + selected = "0"))) + ), + br(), + box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput( + inputId = "CSlabelsize", + label = "Label size", + min = 5, + max = 30, + value = 10)), + column(6, + numericInput("CSdoc", + label=("Num. of documents"), + value = 5))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2724,14 +3475,201 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Co-citation Network"), align = "center")), - column(2,actionButton("applyCocit", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportCOCIT", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Co-citation Network"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCocit") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCOCIT") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenCOCIT") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("citField", + label = "Field", + choices = c("Papers" = "CR", + "Authors" = "CR_AU", + "Sources" = "CR_SO"), + selected = "CR"), + selectInput(inputId = "citSep", + label = "Field separator character", + choices = c('";" (Semicolon)' = ";", + '". " (Dot and 3 or more spaces)' = ". ", + '"," (Comma)' = ","), + selected = "';'"), + br(), + box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + selectInput("citlayout", + label = "Network Layout", + choices = c("Automatic layout"="auto", + "Circle"="circle", + "Fruchterman & Reingold"="fruchterman", + "Kamada & Kawai"="kamada", + "MultiDimensional Scaling"="mds", + "Sphere"="sphere", + "Star"="star"), + selected = "auto") + ), + column(6, + selectInput("cocitCluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap") + )), + fluidRow(column(6, + numericInput(inputId = "citNodes", + label = "Number of Nodes", + min = 5, + max = 1000, + value = 50, + step = 1) + ), + column(6, + numericInput(inputId = "cocit.repulsion", + label = "Repulsion Force", + min = 0, + max = 1, + value = 0.1, + step = 0.1) + )), + fluidRow(column(6, + selectInput(inputId ="cit.isolates", + label = "Remove Isolated Nodes", + choices = c("Yes" = "yes", + "No" = "no"), + selected = "yes") + ), + column(6, + numericInput("citedges.min", + label=("Minimum Number of Edges"), + value = 2, + step = 1, + min = 0) + ) + )), + br(), + box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + selectInput(inputId ="citShortlabel", + label = "Short Label", + choices = c("Yes", + "No"), + selected = "Yes"), + + ), + column(6, + numericInput(inputId = "citLabels", + label = "Number of labels", + min = 0, + max = 1000, + value = 1000, + step = 1) + )), + fluidRow(column(6, + selectInput(inputId ="citlabel.cex", + label = "Label cex", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="cocit.shape", + label = "Node Shape", + choices = c( + "Box"="box", + "Circle"="circle", + "Dot"="dot", + "Ellipse"="ellipse", + "Square"="square", + "Text"="text"), + selected = "dot") + )), + fluidRow(column(6, + numericInput(inputId = "citlabelsize", + label = "Label size", + min = 0.0, + max = 20, + value = 2, + step = 0.10) + ), + column(6, + numericInput( + inputId = "citedgesize", + label = "Edge size", + min = 0.5, + max = 20, + value = 2, + step=0.5) + )), + fluidRow(column(6, + selectInput(inputId ="cocit.shadow", + label = "Node shadow", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="cocit.curved", + label = "Edit Nodes", + choices = c("Yes", + "No"), + selected = "No") + + ) + ) + ), + br(), + fluidRow(column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "network.cocit", label = ("Pajek"), + style = "pill", color = "primary"))), + column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "networkCocit.fig", label = ("HTML"), + style = "pill", color = "primary"))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2752,21 +3690,79 @@ body <- dashboardBody( fluidPage( fluidRow( column(8, - h2(strong("Historiograph"), align = "center")), - column(2,actionButton("applyHist", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportHIST", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + h3(strong("Historiograph"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyHist") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportHIST") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenHIST") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + numericInput(inputId = "histNodes", + label = "Number of Nodes", + min = 5, + max = 100, + value = 20, + step = 1), + " ", + br(), + box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, + collapsed = FALSE, + selectInput(inputId = "titlelabel", + label = "Node label", + choices = c("Short id (1st Author, Year)" = "short", + "Document Title" = "title", + "Authors' Keywords" = "keywords", + "Keywords Plus" = "keywordsplus"), + selected = "short"), + fluidRow(column(6, + numericInput(inputId = "histlabelsize", + label = "Label size", + min = 0.0, + max = 20, + value = 3, step = 1)), + column(6, + numericInput(inputId = "histsize", + label = "Node size", + min = 0, + max = 20, + value = 4, step = 1))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("sliders"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( tabsetPanel(type = "tabs", tabPanel("Network", shinycssloaders::withSpinner(visNetworkOutput("histPlotVis", height = "80vh"))), - # tabPanel("Plot", - # shinycssloaders::withSpinner(plotlyOutput(outputId = "histPlot", height = "75vh"))), tabPanel("Table", shinycssloaders::withSpinner(DT::DTOutput(outputId = "histTable"))) ) @@ -2778,13 +3774,205 @@ body <- dashboardBody( tabItem("collabNetwork", fluidPage( fluidRow( - column(8,h2(strong("Collaboration Network"), align = "center")), - column(2,actionButton("applyCol", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportCOL", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + column(8,h3(strong("Collaboration Network"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyCol") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCOL") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("actionBttn", c(export_bttn, list( + inputId = "screenCOL") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + selectInput("colField", + label = "Field", + choices = c("Authors" = "COL_AU", + "Institutions" = "COL_UN", + "Countries" = "COL_CO"), + selected = "COL_AU"), + br(), + box(title = p(strong("Method Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + selectInput("collayout", + label = "Network Layout", + choices = c("Automatic layout"="auto", + "Circle"="circle", + "Fruchterman & Reingold"="fruchterman", + "Kamada & Kawai"="kamada", + "MultiDimensional Scaling"="mds", + "Sphere"="sphere", + "Star"="star"), + selected = "auto") + ), + column(6, + selectInput("colCluster", + label = "Clustering Algorithm", + choices = c("None" = "none", + "Edge Betweenness" = "edge_betweenness", + "Fast Greedy" = "fast_greedy", + "InfoMap" = "infomap", + "Leading Eigenvalues" = "leading_eigen", + "Leiden" = "leiden", + "Louvain" = "louvain", + "Spinglass" = "spinglass", + "Walktrap" = "walktrap"), + selected = "walktrap") + )), + fluidRow(column(6, + selectInput("colnormalize", + label = "Normalization", + choices = c("none", + "association", + "jaccard", + "salton", + "inclusion", + "equivalence"), + selected = "association") + )), + fluidRow(column(6, + numericInput(inputId = "colNodes", + label = "Number of Nodes", + min = 5, + max = 1000, + value = 50, + step = 1) + ), + column(6, + numericInput(inputId = "col.repulsion", + label = "Repulsion Force", + min = 0, + max = 1, + value = 0.1, + step = 0.1) + )), + fluidRow(column(6, + selectInput(inputId ="col.isolates", + label = "Remove Isolated Nodes", + choices = c("Yes" = "yes", + "No" = "no"), + selected = "yes") + ), + column(6, + numericInput("coledges.min", + label=("Minimum Number of Edges"), + value = 1, + step = 1, + min = 0) + ) + )), + br(), + box(title = p(strong("Graphical Parameters"),style='font-size:16px;color:black;'), + collapsible = TRUE, width = 15, + solidHeader = FALSE, collapsed = TRUE, + fluidRow(column(6, + numericInput(inputId = "colAlpha", + label = "Opacity", + min = 0, + max = 1, + value = 0.7, + step=0.05) + ), + column(6, + numericInput(inputId = "colLabels", + label = "Number of labels", + min = 0, + max = 1000, + value = 1000, + step = 1) + )), + fluidRow(column(6, + selectInput(inputId ="collabel.cex", + label = "Label cex", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="col.shape", + label = "Node Shape", + choices = c( + "Box"="box", + "Circle"="circle", + "Dot"="dot", + "Ellipse"="ellipse", + "Square"="square", + "Text"="text"), + selected = "dot") + )), + fluidRow(column(6, + numericInput(inputId = "collabelsize", + label = "Label size", + min = 0.0, + max = 20, + value = 2, + step = 0.10) + ), + column(6, + numericInput( + inputId = "coledgesize", + label = "Edge size", + min = 0.5, + max = 20, + value = 5, + step=0.5) + )), + fluidRow(column(6, + selectInput(inputId ="col.shadow", + label = "Node shadow", + choices = c("Yes", + "No"), + selected = "Yes") + ), + column(6, + selectInput(inputId ="soc.curved", + label = "Edit Nodes", + choices = c("Yes", + "No"), + selected = "No") + + )) + ), + br(), + fluidRow(column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "network.col", label = ("Pajek"), + style = "pill", color = "primary"))), + column(6, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + width="100%", + downloadBttn(outputId = "networkCol.fig", label = ("HTML"), + style = "pill", color = "primary"))) + ), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2804,14 +3992,56 @@ body <- dashboardBody( tabItem("collabWorldMap", fluidPage( fluidRow( - column(8,h2(strong("Countries' Collaboration World Map"), align = "center")), - column(2,actionButton("applyWM", strong("Run"), - style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%",icon = fa_i(name ="play"))), - column(2, - actionButton("reportCOLW", strong("Report"),style ="border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;", - width = "80%", - icon = icon(name ="plus", lib="glyphicon")) + column(8,h3(strong("Countries' Collaboration World Map"), align = "center")), + div(style=style_bttn, + title = t_run, + column(1, + do.call("actionBttn", c(run_bttn, list( + inputId = "applyWM") + )) + )), + div(style=style_bttn, + title = t_report, + column(1, + do.call("actionBttn", c(report_bttn, list( + inputId = "reportCOLW") + )) + )), + div(style=style_bttn, + title = t_export, + column(1, + do.call("downloadBttn", c(export_bttn, list( + outputId = "CCplot.save") + )) + )), + div(column(1, + dropdown( + h4(strong("Options: ")), + br(), + h4(strong("Method Parameters: ")), + " ", + numericInput("WMedges.min", + label=("Min edges"), + value = 2, + step = 1), + " ", + br(), + h4(strong("Graphical Parameters: ")), + " ", + numericInput(inputId = "WMedgesize", + label = "Edge size", + min = 0.1, + max = 20, + value = 5), + right = TRUE, animate = TRUE, circle = TRUE, + style = "gradient", + tooltip = tooltipOptions(title = "Options"), + color = "primary", + icon = icon("cog",lib="glyphicon"), + width = "300px" + ) + ), + style = style_opt ) ), fluidRow( @@ -2830,7 +4060,7 @@ body <- dashboardBody( tabItem("report", fluidPage( fluidRow( - h2(strong("Report"), align="center"), + h3(strong("Report"), align="center"), br(), ), fluidRow( diff --git a/man/thematicEvolution.Rd b/man/thematicEvolution.Rd index 7ef6d3c3..4049b5de 100644 --- a/man/thematicEvolution.Rd +++ b/man/thematicEvolution.Rd @@ -25,7 +25,7 @@ thematicEvolution( \item{field}{is a character object. It indicates the content field to use. Field can be one of c=("ID","DE","TI","AB"). Default value is \code{field="ID"}.} -\item{years}{is a numeric vector of two or more unique cut points.} +\item{years}{is a numeric vector of one or more unique cut points.} \item{n}{is numerical. It indicates the number of words to use in the network analysis} From 2e623ed9669e2a67d65b5adda21413595f926c26 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Fri, 6 Jan 2023 17:31:37 +0100 Subject: [PATCH 06/31] New buttons for apply, report and options --- inst/biblioshiny/server.R | 20 ++++++++++++++++++++ inst/biblioshiny/ui.R | 30 +++++++++++++++--------------- 2 files changed, 35 insertions(+), 15 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index b08c97e4..713316de 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -5653,6 +5653,26 @@ server <- function(input, output,session){ ) }) + observeEvent(input$applyMLCSources, { + updateTabItems(session, "sidebarmenu", "localCitedSources") + }) + + observeEvent(input$applyCOGrowth, { + updateTabItems(session, "sidebarmenu", "COOverTime") + }) + + observeEvent(input$applyMCCountries, { + updateTabItems(session, "sidebarmenu", "mostCitedCountries") + }) + + observeEvent(input$applyCocit, { + updateTabItems(session, "sidebarmenu", "coCitationNetwork") + }) + + observeEvent(input$applyCol, { + updateTabItems(session, "sidebarmenu", "collabNetwork") + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 6f6c0952..0c7a683d 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -43,7 +43,7 @@ export_bttn <- list( ## Header ---- header <- shinydashboardPlus::dashboardHeader(title = mytitle, titleWidth = 300, - controlbarIcon = fa_i(name ="bars"), + #controlbarIcon = fa_i(name ="bars"), dropdownMenuOutput("notificationMenu"), dropdownMenu( type = "messages", @@ -103,8 +103,8 @@ header <- shinydashboardPlus::dashboardHeader(title = mytitle, href = github_aria, icon = fa_i(name = "github") ) - ), - tags$li(class = "dropdown", + ) + ,tags$li(class = "dropdown", tags$style(".main-header .logo {height: 53px}") ) ) @@ -2588,7 +2588,7 @@ body <- dashboardBody( ) ), #### Conceptual Structure ---- - ##### co-occurence network ---- + ##### co-occurrence network ---- tabItem("coOccurenceNetwork", fluidPage( fluidRow( @@ -4056,7 +4056,6 @@ body <- dashboardBody( ) ), #### Report ---- - ## NEW ---- tabItem("report", fluidPage( fluidRow( @@ -4136,20 +4135,21 @@ body <- dashboardBody( ) ## Control Bar #### -controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2", - uiOutput("controlbar"), - skin = "light", - width = 350, - overlay = FALSE, - collapsed = TRUE, - shinyjs::useShinyjs() -) +# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2", +# uiOutput("controlbar"), +# skin = "light", +# width = 350, +# overlay = FALSE, +# collapsed = TRUE, +# shinyjs::useShinyjs() +# ) ## UI #### -ui <- shinydashboardPlus::dashboardPage(shinyjs::useShinyjs(), +ui <- shinydashboardPlus::dashboardPage( + #shinyjs::useShinyjs(), header = header, sidebar = sidebar, body = body, - controlbar = controlbar, + #controlbar = controlbar, footer = NULL, options = list(sidebarExpandOnHover = TRUE), scrollToTop =TRUE From 051d29bc3e99b7b46d40b419074af95bac28d1ca Mon Sep 17 00:00:00 2001 From: massimoaria Date: Fri, 6 Jan 2023 17:34:15 +0100 Subject: [PATCH 07/31] minor fix --- inst/biblioshiny/ui.R | 62 +++++++++++++++++++++---------------------- 1 file changed, 31 insertions(+), 31 deletions(-) diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 0c7a683d..a207c992 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -645,7 +645,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" )) ) @@ -695,7 +695,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -754,7 +754,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -853,7 +853,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -914,7 +914,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -979,7 +979,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1037,7 +1037,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1093,7 +1093,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1194,7 +1194,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1256,7 +1256,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1312,7 +1312,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1369,7 +1369,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1457,7 +1457,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1519,7 +1519,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1582,7 +1582,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1645,7 +1645,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1708,7 +1708,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1781,7 +1781,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -1901,7 +1901,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2064,7 +2064,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2183,7 +2183,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2308,7 +2308,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2440,7 +2440,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2563,7 +2563,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -2853,7 +2853,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -3010,7 +3010,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -3186,7 +3186,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -3439,7 +3439,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -3665,7 +3665,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -3968,7 +3968,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), @@ -4037,7 +4037,7 @@ body <- dashboardBody( style = "gradient", tooltip = tooltipOptions(title = "Options"), color = "primary", - icon = icon("cog",lib="glyphicon"), + icon = icon("sliders"), width = "300px" ) ), From 5930d398ba56bb2429facf9c8268f74820ec77de Mon Sep 17 00:00:00 2001 From: massimoaria Date: Sun, 8 Jan 2023 18:34:07 +0100 Subject: [PATCH 08/31] Settings --- inst/biblioshiny/server.R | 3 ++- inst/biblioshiny/ui.R | 9 +++++++++ 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index 713316de..b7124a1f 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -169,7 +169,8 @@ server <- function(input, output,session){ menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")) + menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), + menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) ) } else { sidebarMenu() diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index a207c992..f49c4799 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -4129,6 +4129,15 @@ body <- dashboardBody( ) + ) + ), + #### Report ---- + tabItem("settings", + fluidPage( + fluidRow( + h3(strong("Settings"), align="center"), + br(), + ) ) ) ) From 899f482d2bd36566091698d27c775c24321f3e7b Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 08:56:09 +0100 Subject: [PATCH 09/31] Minor fixes --- inst/biblioshiny/server.R | 541 +++++++++++++++++++------------------- inst/biblioshiny/ui.R | 4 +- 2 files changed, 278 insertions(+), 267 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index b7124a1f..0e57ae27 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -5322,270 +5322,270 @@ server <- function(input, output,session){ } }) - output$controlbar <- renderUI({ - controlbarMenu( - controlbarItem( - h2(strong("Options"),align="center"), - fluidPage( - fluidRow( - column(width = 1), - column(width=11, - ### Load Data ---- - # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', - # h3(strong("Import or Load ")), - # selectInput( - # "load", - # label = "Please, choose what to do", - # choices = c( - # " " = "null", - # "Import raw file(s)" = "import", - # "Load bibliometrix file(s)" = "load", - # "Use a sample collection" = "demo" - # ), - # selected = "null" - # ), - # conditionalPanel( - # condition = "input.load == 'demo'", - # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), - # h5(strong("Dataset 'Management'")), - # em("A collection of scientific articles about the use of bibliometric approaches", - # "in business and management disciplines."), - # br(), - # em("Period: 1985 - 2020 - # , Source WoS.") - # ) - # ), - # conditionalPanel( - # condition = "input.load == 'import'", - # selectInput( - # "dbsource", - # label = "Database", - # choices = c( - # "Web of Science (WoS/WoK)" = "isi", - # "Scopus" = "scopus", - # "Dimensions" = "dimensions", - # "Lens.org" = "lens", - # "PubMed" = "pubmed", - # "Cochrane Library" = "cochrane" - # ), - # selected = "isi" - # ) - # ), - # conditionalPanel( - # condition = "input.load != 'null' & input.load != 'demo'", - # conditionalPanel( - # condition = "input.load == 'load'", - # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") - # )), - # fileInput( - # "file1", - # "Choose a file", - # multiple = FALSE, - # accept = c( - # ".csv", - # ".txt", - # ".ciw", - # ".bib", - # ".xlsx", - # ".zip", - # ".xls", - # ".rdata", - # ".rda", - # ".rds" - # ) - # ) - # ), - # conditionalPanel(condition = "input.load != 'null'", - # actionButton("applyLoad", strong("START"), - # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # width = "100%"), - # width = "100%"), - # tags$hr(), - # uiOutput("textLog"), - # tags$hr(), - # h3(strong( - # "Export collection" - # )), - # selectInput( - # 'save_file', - # 'Save as:', - # choices = c( - # ' ' = 'null', - # 'Excel' = 'xlsx', - # 'R Data Format' = 'RData' - # ), - # selected = 'null' - # ), - # conditionalPanel(condition = "input.save_file != 'null'", - # downloadButton("collection.save", strong("Export"), - # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # width = "100%") - # ) - # ), - ## Gathering Data ---- - # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', - # h3(strong( - # "Gather data using APIs " - # )), - # br(), - # selectInput( - # "dbapi", - # label = "Database", - # choices = c("DS Dimensions" = "ds", - # "PubMed" = "pubmed"), - # selected = "pubmed" - # ), - # ## Dimenions API - # conditionalPanel( - # condition = "input.dbapi == 'ds'", - # br(), - # actionButton("dsShow", h5(strong("1. Configure API request")), - # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # width = "100%"), - # h5(tags$b("Your Query")), - # verbatimTextOutput("queryLog2", placeholder = FALSE), - # h5(tags$b("Documents returned using your query")), - # verbatimTextOutput("sampleLog2", placeholder = FALSE), - # ), - # ### Pubmed API - # conditionalPanel( - # condition = "input.dbapi == 'pubmed'", - # br(), - # actionButton("pmShow", h5(strong("1. Configure API request")), - # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # width = "100%"), - # h5(tags$b("Your Query")), - # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), - # h5(tags$b("Documents returned using your query")), - # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), - # ), - # tags$hr(), - # actionButton("apiApply", h5(strong("2. Download metadata")), - # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # width = "100%"), - # tags$hr(), - # h3(strong( - # "Export a bibliometrix file " - # )), - # br(), - # selectInput( - # 'save_file_api', - # 'Save as:', - # choices = c( - # ' ' = 'null', - # 'Excel' = 'xlsx', - # 'R Data Format' = 'RData' - # ), - # selected = 'null' - # ), - # conditionalPanel(condition = "input.save_file_api != 'null'", - # downloadButton("collection.save_api", strong("Export"), - # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # width = "100%") - # ) - # ), - ## Filters ---- - # conditionalPanel(condition = 'input.sidebarmenu == "filters"', - # h3(strong("Filters")), - # br(), - # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # width = "100%", - # icon = fa_i(name ="play")), - # h5(" "), - # box(h6(htmlOutput("textDim")), - # width = "100%"), - # br(), - # uiOutput("selectLA"), - # uiOutput("sliderPY"), - # uiOutput("selectType"), - # uiOutput("sliderTCpY"), - # selectInput("bradfordSources", - # label = "Source by Bradford Law Zones", - # choices = c("Core Sources"="core", - # "Core + Zone 2 Sources"="zone2", - # "All Sources"="all"), - # selected = "all") - # ), - ## Annual Scientific Prod ---- - - ## Average Cit Per Year ---- - - ## Three field Plot ---- - - ## Relevant Sources ---- - - ## Most Local Cited Sources ---- - - ## Bradford Law ---- - - ## Source Impact ---- - - ## Source Dynamics ---- - - ## Most relevant Authors ---- - - ## Most Local Cited Authors ---- - - ## Authors production over time ---- - - ## Lotka law ---- - - ## Author Impact ---- - - ## Most Relevant Affiliations ---- - - ## Affiliations' Production over Time ---- - - ## Corresponding Author country ---- - - ## Country Scientific Production ---- - - ## Countries' Production over Time ---- - - ## Most Cited Countries ---- - - ## Most Global Cited Documents ---- - - ## Most Local Cited Documents ---- - - ## Most Local Cited References ---- - - ## References spectroscopy - - ## Most Frequent Words ---- - - ## Wordcloud ---- - - ## Tree Map ---- - - ## Word dynamics ---- - - ## Trend Topic ---- - - ## Coupling ---- - - ## Co-Occurence Network ---- - - ## Thematic Map ---- - - ## Thematic Evolution ---- - - ## Factorial Analysis ---- - - ## Co-citation Network ---- - - # ## Historiograph ---- - - # ## Collaboration Network ---- - - ## Collaboration World Map ---- - - ) - ) - ) - ) - ) - }) + # output$controlbar <- renderUI({ + # controlbarMenu( + # controlbarItem( + # h2(strong("Options"),align="center"), + # fluidPage( + # fluidRow( + # column(width = 1), + # column(width=11, + # ### Load Data ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', + # # h3(strong("Import or Load ")), + # # selectInput( + # # "load", + # # label = "Please, choose what to do", + # # choices = c( + # # " " = "null", + # # "Import raw file(s)" = "import", + # # "Load bibliometrix file(s)" = "load", + # # "Use a sample collection" = "demo" + # # ), + # # selected = "null" + # # ), + # # conditionalPanel( + # # condition = "input.load == 'demo'", + # # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), + # # h5(strong("Dataset 'Management'")), + # # em("A collection of scientific articles about the use of bibliometric approaches", + # # "in business and management disciplines."), + # # br(), + # # em("Period: 1985 - 2020 + # # , Source WoS.") + # # ) + # # ), + # # conditionalPanel( + # # condition = "input.load == 'import'", + # # selectInput( + # # "dbsource", + # # label = "Database", + # # choices = c( + # # "Web of Science (WoS/WoK)" = "isi", + # # "Scopus" = "scopus", + # # "Dimensions" = "dimensions", + # # "Lens.org" = "lens", + # # "PubMed" = "pubmed", + # # "Cochrane Library" = "cochrane" + # # ), + # # selected = "isi" + # # ) + # # ), + # # conditionalPanel( + # # condition = "input.load != 'null' & input.load != 'demo'", + # # conditionalPanel( + # # condition = "input.load == 'load'", + # # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") + # # )), + # # fileInput( + # # "file1", + # # "Choose a file", + # # multiple = FALSE, + # # accept = c( + # # ".csv", + # # ".txt", + # # ".ciw", + # # ".bib", + # # ".xlsx", + # # ".zip", + # # ".xls", + # # ".rdata", + # # ".rda", + # # ".rds" + # # ) + # # ) + # # ), + # # conditionalPanel(condition = "input.load != 'null'", + # # actionButton("applyLoad", strong("START"), + # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%"), + # # width = "100%"), + # # tags$hr(), + # # uiOutput("textLog"), + # # tags$hr(), + # # h3(strong( + # # "Export collection" + # # )), + # # selectInput( + # # 'save_file', + # # 'Save as:', + # # choices = c( + # # ' ' = 'null', + # # 'Excel' = 'xlsx', + # # 'R Data Format' = 'RData' + # # ), + # # selected = 'null' + # # ), + # # conditionalPanel(condition = "input.save_file != 'null'", + # # downloadButton("collection.save", strong("Export"), + # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%") + # # ) + # # ), + # ## Gathering Data ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', + # # h3(strong( + # # "Gather data using APIs " + # # )), + # # br(), + # # selectInput( + # # "dbapi", + # # label = "Database", + # # choices = c("DS Dimensions" = "ds", + # # "PubMed" = "pubmed"), + # # selected = "pubmed" + # # ), + # # ## Dimenions API + # # conditionalPanel( + # # condition = "input.dbapi == 'ds'", + # # br(), + # # actionButton("dsShow", h5(strong("1. Configure API request")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # h5(tags$b("Your Query")), + # # verbatimTextOutput("queryLog2", placeholder = FALSE), + # # h5(tags$b("Documents returned using your query")), + # # verbatimTextOutput("sampleLog2", placeholder = FALSE), + # # ), + # # ### Pubmed API + # # conditionalPanel( + # # condition = "input.dbapi == 'pubmed'", + # # br(), + # # actionButton("pmShow", h5(strong("1. Configure API request")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # h5(tags$b("Your Query")), + # # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), + # # h5(tags$b("Documents returned using your query")), + # # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), + # # ), + # # tags$hr(), + # # actionButton("apiApply", h5(strong("2. Download metadata")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # tags$hr(), + # # h3(strong( + # # "Export a bibliometrix file " + # # )), + # # br(), + # # selectInput( + # # 'save_file_api', + # # 'Save as:', + # # choices = c( + # # ' ' = 'null', + # # 'Excel' = 'xlsx', + # # 'R Data Format' = 'RData' + # # ), + # # selected = 'null' + # # ), + # # conditionalPanel(condition = "input.save_file_api != 'null'", + # # downloadButton("collection.save_api", strong("Export"), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%") + # # ) + # # ), + # ## Filters ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "filters"', + # # h3(strong("Filters")), + # # br(), + # # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%", + # # icon = fa_i(name ="play")), + # # h5(" "), + # # box(h6(htmlOutput("textDim")), + # # width = "100%"), + # # br(), + # # uiOutput("selectLA"), + # # uiOutput("sliderPY"), + # # uiOutput("selectType"), + # # uiOutput("sliderTCpY"), + # # selectInput("bradfordSources", + # # label = "Source by Bradford Law Zones", + # # choices = c("Core Sources"="core", + # # "Core + Zone 2 Sources"="zone2", + # # "All Sources"="all"), + # # selected = "all") + # # ), + # ## Annual Scientific Prod ---- + # + # ## Average Cit Per Year ---- + # + # ## Three field Plot ---- + # + # ## Relevant Sources ---- + # + # ## Most Local Cited Sources ---- + # + # ## Bradford Law ---- + # + # ## Source Impact ---- + # + # ## Source Dynamics ---- + # + # ## Most relevant Authors ---- + # + # ## Most Local Cited Authors ---- + # + # ## Authors production over time ---- + # + # ## Lotka law ---- + # + # ## Author Impact ---- + # + # ## Most Relevant Affiliations ---- + # + # ## Affiliations' Production over Time ---- + # + # ## Corresponding Author country ---- + # + # ## Country Scientific Production ---- + # + # ## Countries' Production over Time ---- + # + # ## Most Cited Countries ---- + # + # ## Most Global Cited Documents ---- + # + # ## Most Local Cited Documents ---- + # + # ## Most Local Cited References ---- + # + # ## References spectroscopy + # + # ## Most Frequent Words ---- + # + # ## Wordcloud ---- + # + # ## Tree Map ---- + # + # ## Word dynamics ---- + # + # ## Trend Topic ---- + # + # ## Coupling ---- + # + # ## Co-Occurence Network ---- + # + # ## Thematic Map ---- + # + # ## Thematic Evolution ---- + # + # ## Factorial Analysis ---- + # + # ## Co-citation Network ---- + # + # # ## Historiograph ---- + # + # # ## Collaboration Network ---- + # + # ## Collaboration World Map ---- + # + # ) + # ) + # ) + # ) + # ) + # }) ### screenshot buttons observeEvent(input$screenTFP,{ @@ -5621,9 +5621,20 @@ server <- function(input, output,session){ ) }) - observeEvent(input$screenCOCIT,{ + observeEvent(input$screenCOC,{ screenshot( filename = paste("Co_occurrenceNetwork-", Sys.Date(), ".png", sep=""), + id = "cocPlot", + scale = 1, + timer = 0, + download = TRUE, + server_dir = NULL + ) + }) + + observeEvent(input$screenCOCIT,{ + screenshot( + filename = paste("Co_citationNetwork-", Sys.Date(), ".png", sep=""), id = "cocitPlot", scale = 1, timer = 0, diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index f49c4799..27c605ef 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -2611,8 +2611,8 @@ body <- dashboardBody( div(style=style_bttn, title = t_export, column(1, - do.call("downloadBttn", c(export_bttn, list( - outputId = "cocPlot.save") + do.call("actionBttn", c(export_bttn, list( + inputId = "screenCOC") )) )), div(column(1, From f80369292d53a189db3a01bc7b86410f5cd8b2eb Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 10:43:46 +0100 Subject: [PATCH 10/31] Minor fix --- inst/biblioshiny/server.R | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index 0e57ae27..da52cdfa 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -411,7 +411,9 @@ server <- function(input, output,session){ switch(ext, ### excel format xlsx={ - M <- readxl::read_excel(inFile$datapath) %>% as.data.frame(stringsAsFactors=FALSE) + M <- readxl::read_excel(inFile$datapath, col_types = "text") %>% as.data.frame(stringsAsFactors=FALSE) + M$PY <- as.numeric(M$PY) + M$TC <- as.numeric(M$TC) class(M) <- c("bibliometrixDB", "data.frame") ### M row names ### identify duplicated SRs From 0e3b7702a346bb56b382a43d5bd137174764ce94 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 11:50:22 +0100 Subject: [PATCH 11/31] Settings --- inst/biblioshiny/server.R | 11 ++++++++++- inst/biblioshiny/ui.R | 28 +++++++++++++++++++++++++++- inst/biblioshiny/utils.R | 4 ++-- 3 files changed, 39 insertions(+), 4 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index da52cdfa..bc32ebc5 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -26,7 +26,7 @@ server <- function(input, output,session){ ### setting values values$dpi <- 300 values$h <- 7 - values$w <- 14 + #values$w <- 14 values$path <- paste(getwd(),"/", sep="") ### @@ -5687,6 +5687,15 @@ server <- function(input, output,session){ updateTabItems(session, "sidebarmenu", "collabNetwork") }) + ### settings ---- + observeEvent(input$dpi, { + values$dpi <- as.numeric(input$dpi) + }) + + observeEvent(input$h,{ + values$h <- as.numeric(input$h) + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 27c605ef..be7eff52 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -4136,7 +4136,33 @@ body <- dashboardBody( fluidPage( fluidRow( h3(strong("Settings"), align="center"), - br(), + br() + ), + fluidRow(column(6, + h3("Plot settings:"), + br(), + sliderTextInput( + inputId = "dpi", + label = "Please select the desired DPI", + grid = TRUE, + force_edges = TRUE, + choices = c("75", "150", "300", "600"), + width = "70%", + selected = "300" + ), + br(), + sliderTextInput( + inputId = "h", + label = "Please select the desired heigth in inches", + grid = TRUE, + force_edges = TRUE, + width = "70%", + choices = seq(5,15), + selected = "7" + ) + ), column(6 + ### To insert settings for default path, etc. + ) ) ) ) diff --git a/inst/biblioshiny/utils.R b/inst/biblioshiny/utils.R index 2fb39fe2..589a2097 100644 --- a/inst/biblioshiny/utils.R +++ b/inst/biblioshiny/utils.R @@ -31,7 +31,7 @@ strSynPreview <- function(string){ } # from igraph to png file -igraph2PNG <- function(x, filename, width = 10, height = 7, dpi=300){ +igraph2PNG <- function(x, filename, width = 10, height = 7, dpi=75){ V(x)$centr <- centr_betw(x)$res df <- data.frame(name=V(x)$label,cluster=V(x)$color, centr=V(x)$centr) %>% group_by(.data$cluster) %>% @@ -1436,7 +1436,7 @@ addDataScreenWb <- function(list_df, wb, sheetname){ return(results) } -addGgplotsWb <- function(list_plot, wb, sheetname, col, width=10, height=7, dpi=300){ +addGgplotsWb <- function(list_plot, wb, sheetname, col, width=10, height=7, dpi=75){ l <- length(list_plot) startRow <- 1 for (i in 1:l){ From b4fdd7e543e71e7183e147add771bffb1e30b171 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 11:59:08 +0100 Subject: [PATCH 12/31] Fix in couplingmap() --- R/couplingMap.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/couplingMap.R b/R/couplingMap.R index e45eb03f..a2c8fafa 100644 --- a/R/couplingMap.R +++ b/R/couplingMap.R @@ -315,7 +315,7 @@ labeling <- function(M, df_lab, term, n, n.labels, analysis, ngrams){ #clusters <- unique(df$Cluster) #w <- character(length(clusters)) - + df$SR <- df$documents tab_global <- tableTag(df, term) tab_global <- data.frame(label=names(tab_global),tot=as.numeric(tab_global), n=nrow(M),stringsAsFactors = FALSE) From c8775cd6dbceea695ba5752ac5b3c12582b1187c Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 14:23:40 +0100 Subject: [PATCH 13/31] UI fixes --- inst/biblioshiny/server.R | 63 ++++++++++++++------------------------- inst/biblioshiny/ui.R | 39 ++++++++++++------------ 2 files changed, 43 insertions(+), 59 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index bc32ebc5..f8100e06 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -15,8 +15,8 @@ server <- function(input, output,session){ ## initial values data("logo",package="bibliometrix",envir=environment()) values = reactiveValues() - values$sidebar <- sidebarMenu() values$list_file <- data.frame(sheet=NULL,file=NULL,n=NULL) + values$sidebar <- FALSE values$wb <- openxlsx::createWorkbook() values$dfLabel <- dfLabel() values$myChoices <- "Empty Report" @@ -110,7 +110,7 @@ server <- function(input, output,session){ ## SIDEBAR MENU ---- ### Apply Data---- output$rest_of_sidebar <- renderMenu({ - if (ncol(values$M)>1){ + if (isTRUE(values$sidebar)){ sidebarMenu( menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, @@ -172,17 +172,9 @@ server <- function(input, output,session){ menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) ) - } else { - sidebarMenu() - } - }) - - observeEvent(input$applyLoad, { - updateTabItems(session, "sidebarmenu", "loadData") - }) - - observeEvent(input$apiApply, { - updateTabItems(session, "sidebarmenu", "gathData") + } else { + sidebarMenu() + } }) ## Load Menu ---- @@ -241,6 +233,7 @@ server <- function(input, output,session){ values$Morig = management values$Histfield = "NA" values$results = list("NA") + values$sidebar <- TRUE return() } inFile <- input$file1 @@ -455,6 +448,7 @@ server <- function(input, output,session){ values$Morig = M values$Histfield = "NA" values$results = list("NA") + if (ncol(M)>1) {values$sidebar <- TRUE} }) output$contents <- DT::renderDT({ @@ -792,7 +786,7 @@ server <- function(input, output,session){ values$ApiOk <- 1 values$M <- M values$Morig = M - + if (ncol(M)>1) {values$sidebar <- TRUE} values$Histfield = "NA" values$results = list("NA") contentTable(values) @@ -810,6 +804,7 @@ server <- function(input, output,session){ values$ApiOk <- 1 values$M <- M values$Morig = M + if (ncol(M)>1) {values$sidebar <- TRUE} values$Histfield = "NA" values$results = list("NA") } @@ -5313,16 +5308,16 @@ server <- function(input, output,session){ # OPTIONS MENU ---- - observe({ - if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ - updateControlbar("controlbar2") - values$checkControlBar <- TRUE - } - if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ - updateControlbar("controlbar2") - values$checkControlBar <- FALSE - } - }) + # observe({ + # if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ + # updateControlbar("controlbar2") + # values$checkControlBar <- TRUE + # } + # if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ + # updateControlbar("controlbar2") + # values$checkControlBar <- FALSE + # } + # }) # output$controlbar <- renderUI({ # controlbarMenu( @@ -5667,24 +5662,12 @@ server <- function(input, output,session){ ) }) - observeEvent(input$applyMLCSources, { - updateTabItems(session, "sidebarmenu", "localCitedSources") - }) - - observeEvent(input$applyCOGrowth, { - updateTabItems(session, "sidebarmenu", "COOverTime") - }) - - observeEvent(input$applyMCCountries, { - updateTabItems(session, "sidebarmenu", "mostCitedCountries") - }) - - observeEvent(input$applyCocit, { - updateTabItems(session, "sidebarmenu", "coCitationNetwork") + observeEvent(input$applyLoad, { + updateTabItems(session, "sidebarmenu", "loadData") }) - observeEvent(input$applyCol, { - updateTabItems(session, "sidebarmenu", "collabNetwork") + observeEvent(input$apiApply, { + updateTabItems(session, "sidebarmenu", "gathData") }) ### settings ---- diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index be7eff52..09c7c2ac 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -138,25 +138,26 @@ body <- dashboardBody( tags$style(".fa-comment-dollar {font-size: 20px}"), tags$style(".fa-bars {font-size: 20px}"), tags$style(".sidebar-toggle {font-size: 15px}"), - tags$script( - 'var dimension = [0, 0]; - $(document).on("shiny:connected", function(e) { - dimension[0] = window.innerWidth; - dimension[1] = window.innerHeight; - Shiny.onInputChange("dimension", dimension); - }); - $(window).resize(function(e) { - dimension[0] = window.innerWidth; - dimension[1] = window.innerHeight; - Shiny.onInputChange("dimension", dimension); - }); - $(document).ready(function(){ - $("a[data-toggle=tab]").on("show.bs.tab", function(e){ - Shiny.setInputValue("activeTab", $(this).attr("data-value")); - }); - }); - ' - )), + # tags$script( + # 'var dimension = [0, 0]; + # $(document).on("shiny:connected", function(e) { + # dimension[0] = window.innerWidth; + # dimension[1] = window.innerHeight; + # Shiny.onInputChange("dimension", dimension); + # }); + # $(window).resize(function(e) { + # dimension[0] = window.innerWidth; + # dimension[1] = window.innerHeight; + # Shiny.onInputChange("dimension", dimension); + # }); + # $(document).ready(function(){ + # $("a[data-toggle=tab]").on("show.bs.tab", function(e){ + # Shiny.setInputValue("activeTab", $(this).attr("data-value")); + # }); + # }); + # ' + # ) + ), tabItems( #### Homepage ---- ##### home ---- From 71d5db32b58d95fb4377440e6ec24864b185958a Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 15:18:42 +0100 Subject: [PATCH 14/31] Minor fixes --- R/thematicEvolution.R | 1 + inst/biblioshiny/server.R | 529 ++++++++++---------------------------- inst/biblioshiny/ui.R | 30 ++- inst/biblioshiny/utils.R | 6 +- 4 files changed, 152 insertions(+), 414 deletions(-) diff --git a/R/thematicEvolution.R b/R/thematicEvolution.R index 5693e738..98cf38b7 100644 --- a/R/thematicEvolution.R +++ b/R/thematicEvolution.R @@ -57,6 +57,7 @@ thematicEvolution <- function(M, field = "ID", years, n = 250, minFreq = 2, size resk <- thematicMap(Mk, field = field, n = n, minfreq = minFreq, ngrams=ngrams, stemming = stemming, size = size, n.labels = n.labels, repel = repel, remove.terms = remove.terms, synonyms = synonyms, cluster=cluster) + resk$params <- resk$params %>% dplyr::filter(.data$params!="minfreq") res[[k]] <- resk net[[k]] <- resk$net } diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index f8100e06..e41175f8 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -26,7 +26,7 @@ server <- function(input, output,session){ ### setting values values$dpi <- 300 values$h <- 7 - #values$w <- 14 + values$dpiReport <- 75 values$path <- paste(getwd(),"/", sep="") ### @@ -110,71 +110,71 @@ server <- function(input, output,session){ ## SIDEBAR MENU ---- ### Apply Data---- output$rest_of_sidebar <- renderMenu({ - if (isTRUE(values$sidebar)){ - sidebarMenu( - menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), - menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, - menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, - menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, - "Authors", - menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), - "Affiliations", - menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), - "Countries", - menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, - "Documents", - menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - "Cited References", - menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), - "Words", - menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, - menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, - "Network Approach", - menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), - menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), - "Factorial Approach", - menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, - menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, - menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), - menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) - ) - } else { - sidebarMenu() - } + if (isTRUE(values$sidebar)){ + sidebarMenu( + menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), + menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, + menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, + menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, + "Authors", + menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), + "Affiliations", + menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), + "Countries", + menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, + "Documents", + menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + "Cited References", + menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), + "Words", + menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, + menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, + "Network Approach", + menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), + menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), + "Factorial Approach", + menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, + menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, + menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), + menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) + ) + } else { + sidebarMenu() + } }) ## Load Menu ---- @@ -497,7 +497,7 @@ server <- function(input, output,session){ content <- function(file) { tr <- FALSE if ("CR" %in% names(values$M)) tr <- (sum(nchar(values$M$CR)>32767, na.rm=TRUE))>0 - + if (tr & input$save_file=="xlsx"){ show_alert( text = tags$span( @@ -524,12 +524,12 @@ server <- function(input, output,session){ ) suppressWarnings(openxlsx::write.xlsx(values$M, file=file)) } else { - switch(input$save_file, - xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, - RData={ - M=values$M - save(M, file=file) - }) + switch(input$save_file, + xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, + RData={ + M=values$M + save(M, file=file) + }) } }, contentType = input$save_file @@ -1149,7 +1149,7 @@ server <- function(input, output,session){ if(!is.null(values$TAB)){ list_df <- list(values$TAB) list_plot <- list(values$ASPplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AnnualSciProd", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AnnualSciProd", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Annual Scientific Production", type="success") values$myChoices <- sheets(values$wb) @@ -1253,7 +1253,7 @@ server <- function(input, output,session){ if(!is.null(values$AnnualTotCitperYear)){ list_df <- list(values$AnnualTotCitperYear) list_plot <- list(values$ACpYplot) - wb <- addSheetToReport(list_df, list_plot, sheetname = "AnnualCitPerYear", wb = values$wb) + wb <- addSheetToReport(list_df, list_plot, sheetname = "AnnualCitPerYear", wb = values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Average Citations per Year", type="success") values$myChoices <- sheets(values$wb) @@ -1397,7 +1397,7 @@ server <- function(input, output,session){ if(!is.null(values$TABSo)){ list_df <- list(values$TABSo %>% drop_na()) list_plot <- list(values$MRSplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelSources", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelSources", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Relevant Sources", type="success") values$myChoices <- sheets(values$wb) @@ -1474,7 +1474,7 @@ server <- function(input, output,session){ if(!is.null(values$TABSoCit)){ list_df <- list(values$TABSoCit) list_plot <- list(values$MLCSplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitSources", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitSources", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Local Cited Sources", type="success") values$myChoices <- sheets(values$wb) @@ -1528,7 +1528,7 @@ server <- function(input, output,session){ if(!is.null(values$bradford$table)){ list_df <- list(values$bradford$table) list_plot <- list(values$bradford$graph) - wb <- addSheetToReport(list_df,list_plot,sheetname = "BradfordLaw", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "BradfordLaw", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Core Sources by Bradford's Law", type="success") values$myChoices <- sheets(values$wb) @@ -1591,7 +1591,7 @@ server <- function(input, output,session){ if(!is.null(values$H)){ list_df <- list(values$H) list_plot <- list(values$SIplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceLocImpact", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceLocImpact", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Sources' Local Impact", type="success") values$myChoices <- sheets(values$wb) @@ -1734,7 +1734,7 @@ server <- function(input, output,session){ if(!is.null(values$PYSO)){ list_df <- list(values$PYSO) list_plot <- list(values$SDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceProdOverTime", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceProdOverTime", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Sources' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -1829,7 +1829,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAu)){ list_df <- list(values$TABAu) list_plot <- list(values$MRAplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAuthors", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAuthors", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Relevant Authors", type="success") values$myChoices <- sheets(values$wb) @@ -1908,7 +1908,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAuCit)){ list_df <- list(values$TABAuCit) list_plot <- list(values$MLCAplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitAuthors", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitAuthors", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Local Cited Authors", type="success") values$myChoices <- sheets(values$wb) @@ -1972,7 +1972,7 @@ server <- function(input, output,session){ if(!is.null(values$H)){ list_df <- list(values$H) list_plot <- list(values$AIplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AuthorLocImpact", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AuthorLocImpact", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Authors' Local Impact", type="success") values$myChoices <- sheets(values$wb) @@ -2145,7 +2145,7 @@ server <- function(input, output,session){ if(!is.null(values$lotka$AuthorProd)){ list_df <- list(values$lotka$AuthorProd) list_plot <- list(values$LLplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "LotkaLaw", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "LotkaLaw", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Author Productivity through Lotka's Law", type="success") values$myChoices <- sheets(values$wb) @@ -2227,7 +2227,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAff)){ list_df <- list(values$TABAff) list_plot <- list(values$AFFplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAffiliations", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAffiliations", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Relevant Affiliations", type="success") values$myChoices <- sheets(values$wb) @@ -2312,7 +2312,7 @@ server <- function(input, output,session){ if(!is.null(values$AffOverTime)){ list_df <- list(values$AffOverTime) list_plot <- list(values$AffOverTimePlot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AffOverTime", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AffOverTime", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Affiliations' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -2417,7 +2417,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCo)){ list_df <- list(values$TABCo) list_plot <- list(values$MRCOplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CorrAuthCountries", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CorrAuthCountries", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Corresponding Author's Countries", type="success") values$myChoices <- sheets(values$wb) @@ -2472,7 +2472,7 @@ server <- function(input, output,session){ if(!is.null(values$mapworld$tab)){ list_df <- list(values$mapworld$tab) list_plot <- list(values$mapworld$g) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CountrySciProd", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CountrySciProd", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Countries' Scientific Production", type="success") values$myChoices <- sheets(values$wb) @@ -2560,7 +2560,7 @@ server <- function(input, output,session){ if(!is.null(values$CountryOverTime)){ list_df <- list(values$CountryOverTime) list_plot <- list(values$CountryOverTimePlot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CountryProdOverTime", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CountryProdOverTime", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Countries' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -2645,7 +2645,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCitCo)){ list_df <- list(values$TABCitCo) list_plot <- list(values$MCCplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostCitCountries", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostCitCountries", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Cited Countries", type="success") values$myChoices <- sheets(values$wb) @@ -2730,7 +2730,7 @@ server <- function(input, output,session){ if(!is.null(values$TABGlobDoc)){ list_df <- list(values$TABGlobDoc) list_plot <- list(values$MGCDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostGlobCitDocs", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostGlobCitDocs", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Global Cited Documents", type="success") values$myChoices <- sheets(values$wb) @@ -2819,7 +2819,7 @@ server <- function(input, output,session){ if(!is.null(values$TABLocDoc)){ list_df <- list(values$TABLocDoc) list_plot <- list(values$MLCDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitDocs", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitDocs", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Local Cited Documents", type="success") values$myChoices <- sheets(values$wb) @@ -2900,7 +2900,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCitRef)){ list_df <- list(values$TABCitRef) list_plot <- list(values$MLCRplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitRefs", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitRefs", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Local Cited References", type="success") values$myChoices <- sheets(values$wb) @@ -2996,7 +2996,7 @@ server <- function(input, output,session){ if(!is.null(values$res$CR)){ list_df <- list(values$res$CR, values$res$rpysTable) list_plot <- list(values$res$spectroscopy) - wb <- addSheetToReport(list_df,list_plot,sheetname = "RPYS", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "RPYS", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Reference Spectroscopy", type="success") values$myChoices <- sheets(values$wb) @@ -3116,7 +3116,7 @@ server <- function(input, output,session){ if(!is.null(values$TABWord)){ list_df <- list(values$TABWord) list_plot <- list(values$MRWplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostFreqWords", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostFreqWords", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Most Frequent Words", type="success") values$myChoices <- sheets(values$wb) @@ -3490,7 +3490,7 @@ server <- function(input, output,session){ if(!is.null(values$KW)){ list_df <- list(values$KW) list_plot <- list(values$WDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "WordFreqOverTime", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "WordFreqOverTime", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Words' Frequency over Time", type="success") values$myChoices <- sheets(values$wb) @@ -3593,7 +3593,7 @@ server <- function(input, output,session){ if(!is.null(values$trendTopics$df_graph)){ list_df <- list(values$trendTopics$df_graph) list_plot <- list(values$trendTopics$graph) - wb <- addSheetToReport(list_df,list_plot,sheetname = "TrendTopics", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "TrendTopics", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Trend Topics", type="success") values$myChoices <- sheets(values$wb) @@ -3786,7 +3786,7 @@ server <- function(input, output,session){ list_plot <- list(values$degreePlot) res <- addDataScreenWb(list_df, wb=values$wb, sheetname=sheetname) #values$wb <- res$wb - values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+16, width=10, height=7, dpi=300) + values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+16, width=10, height=7, dpi = values$dpiReport) values$fileTFP <- screenSh(selector = "#cocPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) popUp(title="Co-occurrence Network", type="success") @@ -4030,7 +4030,7 @@ server <- function(input, output,session){ if(!is.null(values$CS$params)){ list_df <- list(values$CS$params, values$CS$WData, values$CS$CSData) list_plot <- list(values$CS$graph_terms, values$CS$graph_dendogram, values$CS$graph_documents_Contrib, values$CS$graph_documents_TC) - wb <- addSheetToReport(list_df,list_plot,sheetname = "FactorialAnalysis", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "FactorialAnalysis", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Factorial Analysis", type="success") values$myChoices <- sheets(values$wb) @@ -4086,7 +4086,7 @@ server <- function(input, output,session){ }) ### click cluster networks - + plotModal <- function(session) { ns <- session$ns modalDialog( @@ -4110,16 +4110,16 @@ server <- function(input, output,session){ output$cocPlotClust <- renderVisNetwork({ values$d <- event_data("plotly_click") - coord <- values$d[c("x","y")] - color <- values$TM$clusters_orig %>% - filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% - select(.data$color) %>% as.character() - g <- values$TM$subgraphs[[color]] - igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS + coord <- values$d[c("x","y")] + color <- values$TM$clusters_orig %>% + filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% + select(.data$color) %>% as.character() + g <- values$TM$subgraphs[[color]] + igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS }) ### end click cluster subgraphs - + output$NetPlot <- renderVisNetwork({ TMAP() values$networkTM<-igraph2vis(g=values$TM$net$graph,curved=(input$coc.curved=="Yes"), @@ -4209,7 +4209,7 @@ server <- function(input, output,session){ output$TMTableDocument <- DT::renderDT({ TMAP() tmDataDoc <- values$TM$documentToClusters - + DT::datatable(tmDataDoc, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -4244,7 +4244,7 @@ server <- function(input, output,session){ values$TM$documentToClusters) list_plot <- list(values$TM$map, values$TM$net$graph) - wb <- addSheetToReport(list_df, list_plot, sheetname="ThematicMap", wb=values$wb) + wb <- addSheetToReport(list_df, list_plot, sheetname="ThematicMap", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Thematic Map", type="success") values$myChoices <- sheets(values$wb) @@ -4285,7 +4285,8 @@ server <- function(input, output,session){ ### end of block values$yearSlices <- as.numeric() - if (is.null(values$nexus)){ + #if (is.null(values$nexus)){ + if (is.null(input$numSlices)){ values$yearSlices <- median(values$M$PY, na.rm=TRUE) }else{ for (i in 1:as.integer(input$numSlices)){ @@ -4300,6 +4301,12 @@ server <- function(input, output,session){ validate( need(values$nexus$check != FALSE, "\n\nNo topics in one or more periods. Please select a different set of parameters.") ) + if (input$TEmeasure == "inclusion"){ + TEmeasure <- "Inclusion Index" + } else { + TEmeasure <- "Inclusion Index weighted by Word-Occurrences" + } + values$nexus$params <- rbind(values$nexus$params,c( "Weight index", TEmeasure)) for (i in 1:length(values$yearSlices)){ values$nexus$TM[[i]]$words <- values$nexus$TM[[i]]$words[,-c(4,6)] values$nexus$TM[[i]]$clusters <- values$nexus$TM[[i]]$clusters[,c(9,5:8,11)] @@ -4732,7 +4739,6 @@ server <- function(input, output,session){ TEMAP() tmDataDoc <- values$nexus$TM[[1]]$documentToClusters - DT::datatable(tmDataDoc, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -4891,20 +4897,20 @@ server <- function(input, output,session){ #values$wb <- res$wb values$fileTFP <- screenSh(selector = "#TEPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) - + ## Periods L <- length(values$nexus$TM) wb <- res$wb for (l in 1:L){ if(!is.null(values$nexus$TM[[l]]$words)){ - + list_df <- list(values$nexus$TM[[l]]$params, values$nexus$TM[[l]]$words, values$nexus$TM[[l]]$clusters, values$nexus$TM[[l]]$documentToClusters) list_plot <- list(values$nexus$TM[[l]]$map, values$nexus$TM[[l]]$net$graph) - wb <- addSheetToReport(list_df, list_plot, sheetname=paste("TE_Period_",l,sep=""), wb=wb) + wb <- addSheetToReport(list_df, list_plot, sheetname=paste("TE_Period_",l,sep=""), wb=wb, dpi = values$dpiReport) # } } @@ -4982,7 +4988,7 @@ server <- function(input, output,session){ }) observeEvent(input$reportCOCIT,{ - + if(!is.null(values$cocitnet$cluster_res)){ names(values$cocitnet$cluster_res) <- c("Node", "Cluster", "Betweenness", "Closeness", "PageRank") sheetname <- "CoCitNet" @@ -4990,7 +4996,7 @@ server <- function(input, output,session){ list_plot <- list(values$degreePlot) res <- addDataScreenWb(list_df, wb=values$wb, sheetname=sheetname) #values$wb <- res$wb - values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi=300) + values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi = values$dpiReport) values$fileTFP <- screenSh(selector = "#cocitPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) popUp(title="Co-citation Network", type="success") @@ -5212,7 +5218,7 @@ server <- function(input, output,session){ if(!is.null(values$WMmap$tab)){ list_df <- list(values$WMmap$tab) list_plot <- list(values$WMmap$g) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CollabWorldMap", wb=values$wb) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CollabWorldMap", wb=values$wb, dpi = values$dpiReport) values$wb <- wb popUp(title="Countries' Collaboration World Map", type="success") values$myChoices <- sheets(values$wb) @@ -5229,7 +5235,7 @@ server <- function(input, output,session){ content <- function(file) { wb_export <- copyWorkbook(values$wb) if (nrow(values$list_file)>0){ - wb_export <- addScreenWb(df=values$list_file, wb=wb_export)#, width=10, height=7, dpi=300) + wb_export <- addScreenWb(df=values$list_file, wb=wb_export, dpi = values$dpiReport)#, width=10, height=7, dpi=300) } sheetToRemove <- setdiff(sheets(wb_export),input$reportSheets) if (length(sheetToRemove)>0) for (i in sheetToRemove) removeWorksheet(wb_export,i) @@ -5245,7 +5251,7 @@ server <- function(input, output,session){ output$reportSheets <- renderUI({ prettyCheckboxGroup( inputId = "reportSheets", - label = NULL, #short2long(df=values$dfLabel, myC=values$myChoices), + label = NULL, choices = short2long(df=values$dfLabel, myC=values$myChoices), selected = values$myChoices, icon = icon("check"), @@ -5261,7 +5267,6 @@ server <- function(input, output,session){ updatePrettyCheckboxGroup( session = getDefaultReactiveDomain(), inputId = "reportSheets", - #label = short2long(df=values$dfLabel, myC=values$myChoices), choices = short2long(df=values$dfLabel, myC=values$myChoices), selected = if(!input$noSheets) values$myChoices, prettyOptions = list( @@ -5302,287 +5307,9 @@ server <- function(input, output,session){ values$list_file <- data.frame(sheet=NULL,file=NULL,n=NULL) values$wb <- openxlsx::createWorkbook() } - }, ignoreNULL = TRUE + }, ignoreNULL = TRUE ) - - - # OPTIONS MENU ---- - # observe({ - # if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ - # updateControlbar("controlbar2") - # values$checkControlBar <- TRUE - # } - # if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ - # updateControlbar("controlbar2") - # values$checkControlBar <- FALSE - # } - # }) - - # output$controlbar <- renderUI({ - # controlbarMenu( - # controlbarItem( - # h2(strong("Options"),align="center"), - # fluidPage( - # fluidRow( - # column(width = 1), - # column(width=11, - # ### Load Data ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', - # # h3(strong("Import or Load ")), - # # selectInput( - # # "load", - # # label = "Please, choose what to do", - # # choices = c( - # # " " = "null", - # # "Import raw file(s)" = "import", - # # "Load bibliometrix file(s)" = "load", - # # "Use a sample collection" = "demo" - # # ), - # # selected = "null" - # # ), - # # conditionalPanel( - # # condition = "input.load == 'demo'", - # # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), - # # h5(strong("Dataset 'Management'")), - # # em("A collection of scientific articles about the use of bibliometric approaches", - # # "in business and management disciplines."), - # # br(), - # # em("Period: 1985 - 2020 - # # , Source WoS.") - # # ) - # # ), - # # conditionalPanel( - # # condition = "input.load == 'import'", - # # selectInput( - # # "dbsource", - # # label = "Database", - # # choices = c( - # # "Web of Science (WoS/WoK)" = "isi", - # # "Scopus" = "scopus", - # # "Dimensions" = "dimensions", - # # "Lens.org" = "lens", - # # "PubMed" = "pubmed", - # # "Cochrane Library" = "cochrane" - # # ), - # # selected = "isi" - # # ) - # # ), - # # conditionalPanel( - # # condition = "input.load != 'null' & input.load != 'demo'", - # # conditionalPanel( - # # condition = "input.load == 'load'", - # # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") - # # )), - # # fileInput( - # # "file1", - # # "Choose a file", - # # multiple = FALSE, - # # accept = c( - # # ".csv", - # # ".txt", - # # ".ciw", - # # ".bib", - # # ".xlsx", - # # ".zip", - # # ".xls", - # # ".rdata", - # # ".rda", - # # ".rds" - # # ) - # # ) - # # ), - # # conditionalPanel(condition = "input.load != 'null'", - # # actionButton("applyLoad", strong("START"), - # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%"), - # # width = "100%"), - # # tags$hr(), - # # uiOutput("textLog"), - # # tags$hr(), - # # h3(strong( - # # "Export collection" - # # )), - # # selectInput( - # # 'save_file', - # # 'Save as:', - # # choices = c( - # # ' ' = 'null', - # # 'Excel' = 'xlsx', - # # 'R Data Format' = 'RData' - # # ), - # # selected = 'null' - # # ), - # # conditionalPanel(condition = "input.save_file != 'null'", - # # downloadButton("collection.save", strong("Export"), - # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%") - # # ) - # # ), - # ## Gathering Data ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', - # # h3(strong( - # # "Gather data using APIs " - # # )), - # # br(), - # # selectInput( - # # "dbapi", - # # label = "Database", - # # choices = c("DS Dimensions" = "ds", - # # "PubMed" = "pubmed"), - # # selected = "pubmed" - # # ), - # # ## Dimenions API - # # conditionalPanel( - # # condition = "input.dbapi == 'ds'", - # # br(), - # # actionButton("dsShow", h5(strong("1. Configure API request")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # h5(tags$b("Your Query")), - # # verbatimTextOutput("queryLog2", placeholder = FALSE), - # # h5(tags$b("Documents returned using your query")), - # # verbatimTextOutput("sampleLog2", placeholder = FALSE), - # # ), - # # ### Pubmed API - # # conditionalPanel( - # # condition = "input.dbapi == 'pubmed'", - # # br(), - # # actionButton("pmShow", h5(strong("1. Configure API request")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # h5(tags$b("Your Query")), - # # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), - # # h5(tags$b("Documents returned using your query")), - # # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), - # # ), - # # tags$hr(), - # # actionButton("apiApply", h5(strong("2. Download metadata")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # tags$hr(), - # # h3(strong( - # # "Export a bibliometrix file " - # # )), - # # br(), - # # selectInput( - # # 'save_file_api', - # # 'Save as:', - # # choices = c( - # # ' ' = 'null', - # # 'Excel' = 'xlsx', - # # 'R Data Format' = 'RData' - # # ), - # # selected = 'null' - # # ), - # # conditionalPanel(condition = "input.save_file_api != 'null'", - # # downloadButton("collection.save_api", strong("Export"), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%") - # # ) - # # ), - # ## Filters ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "filters"', - # # h3(strong("Filters")), - # # br(), - # # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%", - # # icon = fa_i(name ="play")), - # # h5(" "), - # # box(h6(htmlOutput("textDim")), - # # width = "100%"), - # # br(), - # # uiOutput("selectLA"), - # # uiOutput("sliderPY"), - # # uiOutput("selectType"), - # # uiOutput("sliderTCpY"), - # # selectInput("bradfordSources", - # # label = "Source by Bradford Law Zones", - # # choices = c("Core Sources"="core", - # # "Core + Zone 2 Sources"="zone2", - # # "All Sources"="all"), - # # selected = "all") - # # ), - # ## Annual Scientific Prod ---- - # - # ## Average Cit Per Year ---- - # - # ## Three field Plot ---- - # - # ## Relevant Sources ---- - # - # ## Most Local Cited Sources ---- - # - # ## Bradford Law ---- - # - # ## Source Impact ---- - # - # ## Source Dynamics ---- - # - # ## Most relevant Authors ---- - # - # ## Most Local Cited Authors ---- - # - # ## Authors production over time ---- - # - # ## Lotka law ---- - # - # ## Author Impact ---- - # - # ## Most Relevant Affiliations ---- - # - # ## Affiliations' Production over Time ---- - # - # ## Corresponding Author country ---- - # - # ## Country Scientific Production ---- - # - # ## Countries' Production over Time ---- - # - # ## Most Cited Countries ---- - # - # ## Most Global Cited Documents ---- - # - # ## Most Local Cited Documents ---- - # - # ## Most Local Cited References ---- - # - # ## References spectroscopy - # - # ## Most Frequent Words ---- - # - # ## Wordcloud ---- - # - # ## Tree Map ---- - # - # ## Word dynamics ---- - # - # ## Trend Topic ---- - # - # ## Coupling ---- - # - # ## Co-Occurence Network ---- - # - # ## Thematic Map ---- - # - # ## Thematic Evolution ---- - # - # ## Factorial Analysis ---- - # - # ## Co-citation Network ---- - # - # # ## Historiograph ---- - # - # # ## Collaboration Network ---- - # - # ## Collaboration World Map ---- - # - # ) - # ) - # ) - # ) - # ) - # }) ### screenshot buttons observeEvent(input$screenTFP,{ @@ -5679,6 +5406,10 @@ server <- function(input, output,session){ values$h <- as.numeric(input$h) }) + observeEvent(input$dpiReport, { + values$dpiReport <- as.numeric(input$dpiReport) + }) + } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 09c7c2ac..7d095ec0 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -3146,8 +3146,8 @@ body <- dashboardBody( selectInput("TEmeasure", label = "Weight index", choices = c("Inclusion Index" = "inclusion", - "Inclusion Index weighted by Word-Occurrences" = "weighted", - "Stability Index" = "stability" + "Inclusion Index weighted by Word-Occurrences" = "weighted"#, + #"Stability Index" = "stability" ), selected = "weighted") ), @@ -4140,7 +4140,7 @@ body <- dashboardBody( br() ), fluidRow(column(6, - h3("Plot settings:"), + h3("PNG Export Settings:"), br(), sliderTextInput( inputId = "dpi", @@ -4161,6 +4161,20 @@ body <- dashboardBody( choices = seq(5,15), selected = "7" ) + #, + # br(), + # br(), + # h3("Report Export Settings:"), + # br(), + # sliderTextInput( + # inputId = "dpiReport", + # label = "Please select the desired DPI", + # grid = TRUE, + # force_edges = TRUE, + # choices = c("75", "150", "300", "600"), + # width = "70%", + # selected = "75" + # ) ), column(6 ### To insert settings for default path, etc. ) @@ -4170,15 +4184,7 @@ body <- dashboardBody( ) ) -## Control Bar #### -# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2", -# uiOutput("controlbar"), -# skin = "light", -# width = 350, -# overlay = FALSE, -# collapsed = TRUE, -# shinyjs::useShinyjs() -# ) + ## UI #### ui <- shinydashboardPlus::dashboardPage( #shinyjs::useShinyjs(), diff --git a/inst/biblioshiny/utils.R b/inst/biblioshiny/utils.R index 589a2097..3c028ea6 100644 --- a/inst/biblioshiny/utils.R +++ b/inst/biblioshiny/utils.R @@ -1470,7 +1470,7 @@ screenSh <- function(selector){ return(file) } -addScreenWb <- function(df, wb, width=14, height=8, dpi=300){ +addScreenWb <- function(df, wb, width=14, height=8, dpi=75){ names(df) <- c("sheet","file","n") if (nrow(df)>0){ sheet <- unique(df$sheet) @@ -1491,7 +1491,7 @@ addScreenWb <- function(df, wb, width=14, height=8, dpi=300){ return(wb) } -addSheetToReport <- function(list_df, list_plot, sheetname, wb){ +addSheetToReport <- function(list_df, list_plot, sheetname, wb, dpi=75){ ind <- which(regexpr(sheetname,wb$sheet_names)>-1) if (length(ind)>0){ sheetname <- paste(sheetname,"(",length(ind)+1,")",sep="") @@ -1504,7 +1504,7 @@ addSheetToReport <- function(list_df, list_plot, sheetname, wb){ } else {col <- 1} if (!is.null(list_plot)){ - wb <- addGgplotsWb(list_plot, wb = wb, sheetname = sheetname, col = col) + wb <- addGgplotsWb(list_plot, wb = wb, sheetname = sheetname, col = col, dpi = dpi) } #values$sheet_name <- sheetname return(wb) From a713b1c9ed125bf97306600d69570c279e5b6b65 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 16:51:12 +0100 Subject: [PATCH 15/31] minor fixes --- inst/biblioshiny/libraries.R | 9 + inst/biblioshiny/server.R | 565 ++++++++++++++++++++++++++--------- inst/biblioshiny/ui.R | 99 +++--- 3 files changed, 482 insertions(+), 191 deletions(-) diff --git a/inst/biblioshiny/libraries.R b/inst/biblioshiny/libraries.R index 8940f21d..5ffb845c 100644 --- a/inst/biblioshiny/libraries.R +++ b/inst/biblioshiny/libraries.R @@ -25,4 +25,13 @@ libraries <- function(){ require(pubmedR, quietly = TRUE) require(dplyr, quietly = TRUE) require(tidyr, quietly = TRUE) +} + +messageItem2 <- function (from, message, icon = shiny::icon("user"), time = NULL, + href = NULL, inputId = NULL){ + if (is.null(href)) + href <- "#" + shiny::tags$li(shiny::a(id = inputId, class = if (!is.null(inputId)) + "action-button", href = href, target = "_blank", icon, shiny::h4(from, if (!is.null(time)) + shiny::tags$small(shiny::icon("clock-o"), time)), shiny::p(message))) } \ No newline at end of file diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index e41175f8..0e412cc1 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -15,8 +15,9 @@ server <- function(input, output,session){ ## initial values data("logo",package="bibliometrix",envir=environment()) values = reactiveValues() + values$sidebar <- sidebarMenu() + values$rest_sidebar <- FALSE values$list_file <- data.frame(sheet=NULL,file=NULL,n=NULL) - values$sidebar <- FALSE values$wb <- openxlsx::createWorkbook() values$dfLabel <- dfLabel() values$myChoices <- "Empty Report" @@ -26,7 +27,7 @@ server <- function(input, output,session){ ### setting values values$dpi <- 300 values$h <- 7 - values$dpiReport <- 75 + #values$w <- 14 values$path <- paste(getwd(),"/", sep="") ### @@ -110,73 +111,81 @@ server <- function(input, output,session){ ## SIDEBAR MENU ---- ### Apply Data---- output$rest_of_sidebar <- renderMenu({ - if (isTRUE(values$sidebar)){ - sidebarMenu( - menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), - menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, - menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, - menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, - "Authors", - menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), - "Affiliations", - menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), - "Countries", - menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, - "Documents", - menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - "Cited References", - menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), - "Words", - menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, - menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, - "Network Approach", - menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), - menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), - "Factorial Approach", - menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, - menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, - menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), - menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) - ) + if (isTRUE(values$rest_sidebar)){ + sidebarMenu( + menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), + menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, + menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, + menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, + "Authors", + menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), + "Affiliations", + menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), + "Countries", + menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, + "Documents", + menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + "Cited References", + menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), + "Words", + menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, + menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, + "Network Approach", + menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), + menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), + "Factorial Approach", + menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, + menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, + menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), + menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) + ) } else { sidebarMenu() } }) + observeEvent(input$applyLoad, { + updateTabItems(session, "sidebarmenu", "loadData") + }) + + observeEvent(input$apiApply, { + updateTabItems(session, "sidebarmenu", "gathData") + }) + ## Load Menu ---- format <- function(obj){ ext<- sub('.*\\.', '', obj[1]) @@ -233,7 +242,7 @@ server <- function(input, output,session){ values$Morig = management values$Histfield = "NA" values$results = list("NA") - values$sidebar <- TRUE + values$rest_sidebar <- TRUE return() } inFile <- input$file1 @@ -448,8 +457,7 @@ server <- function(input, output,session){ values$Morig = M values$Histfield = "NA" values$results = list("NA") - if (ncol(M)>1) {values$sidebar <- TRUE} - + if (ncol(values$M)>1){values$rest_sidebar <- TRUE} }) output$contents <- DT::renderDT({ DATAloading() @@ -497,7 +505,7 @@ server <- function(input, output,session){ content <- function(file) { tr <- FALSE if ("CR" %in% names(values$M)) tr <- (sum(nchar(values$M$CR)>32767, na.rm=TRUE))>0 - + if (tr & input$save_file=="xlsx"){ show_alert( text = tags$span( @@ -524,12 +532,12 @@ server <- function(input, output,session){ ) suppressWarnings(openxlsx::write.xlsx(values$M, file=file)) } else { - switch(input$save_file, - xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, - RData={ - M=values$M - save(M, file=file) - }) + switch(input$save_file, + xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, + RData={ + M=values$M + save(M, file=file) + }) } }, contentType = input$save_file @@ -786,7 +794,7 @@ server <- function(input, output,session){ values$ApiOk <- 1 values$M <- M values$Morig = M - if (ncol(M)>1) {values$sidebar <- TRUE} + if (ncol(values$M)>1){values$rest_sidebar <- TRUE} values$Histfield = "NA" values$results = list("NA") contentTable(values) @@ -804,7 +812,7 @@ server <- function(input, output,session){ values$ApiOk <- 1 values$M <- M values$Morig = M - if (ncol(M)>1) {values$sidebar <- TRUE} + if (ncol(values$M)>1){values$rest_sidebar <- TRUE} values$Histfield = "NA" values$results = list("NA") } @@ -1149,7 +1157,7 @@ server <- function(input, output,session){ if(!is.null(values$TAB)){ list_df <- list(values$TAB) list_plot <- list(values$ASPplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AnnualSciProd", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AnnualSciProd", wb=values$wb) values$wb <- wb popUp(title="Annual Scientific Production", type="success") values$myChoices <- sheets(values$wb) @@ -1253,7 +1261,7 @@ server <- function(input, output,session){ if(!is.null(values$AnnualTotCitperYear)){ list_df <- list(values$AnnualTotCitperYear) list_plot <- list(values$ACpYplot) - wb <- addSheetToReport(list_df, list_plot, sheetname = "AnnualCitPerYear", wb = values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df, list_plot, sheetname = "AnnualCitPerYear", wb = values$wb) values$wb <- wb popUp(title="Average Citations per Year", type="success") values$myChoices <- sheets(values$wb) @@ -1397,7 +1405,7 @@ server <- function(input, output,session){ if(!is.null(values$TABSo)){ list_df <- list(values$TABSo %>% drop_na()) list_plot <- list(values$MRSplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelSources", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelSources", wb=values$wb) values$wb <- wb popUp(title="Most Relevant Sources", type="success") values$myChoices <- sheets(values$wb) @@ -1474,7 +1482,7 @@ server <- function(input, output,session){ if(!is.null(values$TABSoCit)){ list_df <- list(values$TABSoCit) list_plot <- list(values$MLCSplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitSources", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitSources", wb=values$wb) values$wb <- wb popUp(title="Most Local Cited Sources", type="success") values$myChoices <- sheets(values$wb) @@ -1528,7 +1536,7 @@ server <- function(input, output,session){ if(!is.null(values$bradford$table)){ list_df <- list(values$bradford$table) list_plot <- list(values$bradford$graph) - wb <- addSheetToReport(list_df,list_plot,sheetname = "BradfordLaw", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "BradfordLaw", wb=values$wb) values$wb <- wb popUp(title="Core Sources by Bradford's Law", type="success") values$myChoices <- sheets(values$wb) @@ -1591,7 +1599,7 @@ server <- function(input, output,session){ if(!is.null(values$H)){ list_df <- list(values$H) list_plot <- list(values$SIplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceLocImpact", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceLocImpact", wb=values$wb) values$wb <- wb popUp(title="Sources' Local Impact", type="success") values$myChoices <- sheets(values$wb) @@ -1734,7 +1742,7 @@ server <- function(input, output,session){ if(!is.null(values$PYSO)){ list_df <- list(values$PYSO) list_plot <- list(values$SDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceProdOverTime", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "SourceProdOverTime", wb=values$wb) values$wb <- wb popUp(title="Sources' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -1829,7 +1837,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAu)){ list_df <- list(values$TABAu) list_plot <- list(values$MRAplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAuthors", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAuthors", wb=values$wb) values$wb <- wb popUp(title="Most Relevant Authors", type="success") values$myChoices <- sheets(values$wb) @@ -1908,7 +1916,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAuCit)){ list_df <- list(values$TABAuCit) list_plot <- list(values$MLCAplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitAuthors", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitAuthors", wb=values$wb) values$wb <- wb popUp(title="Most Local Cited Authors", type="success") values$myChoices <- sheets(values$wb) @@ -1972,7 +1980,7 @@ server <- function(input, output,session){ if(!is.null(values$H)){ list_df <- list(values$H) list_plot <- list(values$AIplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AuthorLocImpact", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AuthorLocImpact", wb=values$wb) values$wb <- wb popUp(title="Authors' Local Impact", type="success") values$myChoices <- sheets(values$wb) @@ -2145,7 +2153,7 @@ server <- function(input, output,session){ if(!is.null(values$lotka$AuthorProd)){ list_df <- list(values$lotka$AuthorProd) list_plot <- list(values$LLplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "LotkaLaw", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "LotkaLaw", wb=values$wb) values$wb <- wb popUp(title="Author Productivity through Lotka's Law", type="success") values$myChoices <- sheets(values$wb) @@ -2227,7 +2235,7 @@ server <- function(input, output,session){ if(!is.null(values$TABAff)){ list_df <- list(values$TABAff) list_plot <- list(values$AFFplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAffiliations", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostRelAffiliations", wb=values$wb) values$wb <- wb popUp(title="Most Relevant Affiliations", type="success") values$myChoices <- sheets(values$wb) @@ -2312,7 +2320,7 @@ server <- function(input, output,session){ if(!is.null(values$AffOverTime)){ list_df <- list(values$AffOverTime) list_plot <- list(values$AffOverTimePlot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "AffOverTime", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "AffOverTime", wb=values$wb) values$wb <- wb popUp(title="Affiliations' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -2417,7 +2425,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCo)){ list_df <- list(values$TABCo) list_plot <- list(values$MRCOplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CorrAuthCountries", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CorrAuthCountries", wb=values$wb) values$wb <- wb popUp(title="Corresponding Author's Countries", type="success") values$myChoices <- sheets(values$wb) @@ -2472,7 +2480,7 @@ server <- function(input, output,session){ if(!is.null(values$mapworld$tab)){ list_df <- list(values$mapworld$tab) list_plot <- list(values$mapworld$g) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CountrySciProd", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CountrySciProd", wb=values$wb) values$wb <- wb popUp(title="Countries' Scientific Production", type="success") values$myChoices <- sheets(values$wb) @@ -2560,7 +2568,7 @@ server <- function(input, output,session){ if(!is.null(values$CountryOverTime)){ list_df <- list(values$CountryOverTime) list_plot <- list(values$CountryOverTimePlot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CountryProdOverTime", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CountryProdOverTime", wb=values$wb) values$wb <- wb popUp(title="Countries' Production over Time", type="success") values$myChoices <- sheets(values$wb) @@ -2645,7 +2653,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCitCo)){ list_df <- list(values$TABCitCo) list_plot <- list(values$MCCplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostCitCountries", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostCitCountries", wb=values$wb) values$wb <- wb popUp(title="Most Cited Countries", type="success") values$myChoices <- sheets(values$wb) @@ -2730,7 +2738,7 @@ server <- function(input, output,session){ if(!is.null(values$TABGlobDoc)){ list_df <- list(values$TABGlobDoc) list_plot <- list(values$MGCDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostGlobCitDocs", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostGlobCitDocs", wb=values$wb) values$wb <- wb popUp(title="Most Global Cited Documents", type="success") values$myChoices <- sheets(values$wb) @@ -2819,7 +2827,7 @@ server <- function(input, output,session){ if(!is.null(values$TABLocDoc)){ list_df <- list(values$TABLocDoc) list_plot <- list(values$MLCDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitDocs", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitDocs", wb=values$wb) values$wb <- wb popUp(title="Most Local Cited Documents", type="success") values$myChoices <- sheets(values$wb) @@ -2900,7 +2908,7 @@ server <- function(input, output,session){ if(!is.null(values$TABCitRef)){ list_df <- list(values$TABCitRef) list_plot <- list(values$MLCRplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitRefs", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostLocCitRefs", wb=values$wb) values$wb <- wb popUp(title="Most Local Cited References", type="success") values$myChoices <- sheets(values$wb) @@ -2996,7 +3004,7 @@ server <- function(input, output,session){ if(!is.null(values$res$CR)){ list_df <- list(values$res$CR, values$res$rpysTable) list_plot <- list(values$res$spectroscopy) - wb <- addSheetToReport(list_df,list_plot,sheetname = "RPYS", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "RPYS", wb=values$wb) values$wb <- wb popUp(title="Reference Spectroscopy", type="success") values$myChoices <- sheets(values$wb) @@ -3116,7 +3124,7 @@ server <- function(input, output,session){ if(!is.null(values$TABWord)){ list_df <- list(values$TABWord) list_plot <- list(values$MRWplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "MostFreqWords", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "MostFreqWords", wb=values$wb) values$wb <- wb popUp(title="Most Frequent Words", type="success") values$myChoices <- sheets(values$wb) @@ -3490,7 +3498,7 @@ server <- function(input, output,session){ if(!is.null(values$KW)){ list_df <- list(values$KW) list_plot <- list(values$WDplot) - wb <- addSheetToReport(list_df,list_plot,sheetname = "WordFreqOverTime", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "WordFreqOverTime", wb=values$wb) values$wb <- wb popUp(title="Words' Frequency over Time", type="success") values$myChoices <- sheets(values$wb) @@ -3593,7 +3601,7 @@ server <- function(input, output,session){ if(!is.null(values$trendTopics$df_graph)){ list_df <- list(values$trendTopics$df_graph) list_plot <- list(values$trendTopics$graph) - wb <- addSheetToReport(list_df,list_plot,sheetname = "TrendTopics", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "TrendTopics", wb=values$wb) values$wb <- wb popUp(title="Trend Topics", type="success") values$myChoices <- sheets(values$wb) @@ -3786,7 +3794,7 @@ server <- function(input, output,session){ list_plot <- list(values$degreePlot) res <- addDataScreenWb(list_df, wb=values$wb, sheetname=sheetname) #values$wb <- res$wb - values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+16, width=10, height=7, dpi = values$dpiReport) + values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+16, width=10, height=7, dpi=75) values$fileTFP <- screenSh(selector = "#cocPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) popUp(title="Co-occurrence Network", type="success") @@ -4030,7 +4038,7 @@ server <- function(input, output,session){ if(!is.null(values$CS$params)){ list_df <- list(values$CS$params, values$CS$WData, values$CS$CSData) list_plot <- list(values$CS$graph_terms, values$CS$graph_dendogram, values$CS$graph_documents_Contrib, values$CS$graph_documents_TC) - wb <- addSheetToReport(list_df,list_plot,sheetname = "FactorialAnalysis", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "FactorialAnalysis", wb=values$wb) values$wb <- wb popUp(title="Factorial Analysis", type="success") values$myChoices <- sheets(values$wb) @@ -4086,7 +4094,7 @@ server <- function(input, output,session){ }) ### click cluster networks - + plotModal <- function(session) { ns <- session$ns modalDialog( @@ -4110,16 +4118,16 @@ server <- function(input, output,session){ output$cocPlotClust <- renderVisNetwork({ values$d <- event_data("plotly_click") - coord <- values$d[c("x","y")] - color <- values$TM$clusters_orig %>% - filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% - select(.data$color) %>% as.character() - g <- values$TM$subgraphs[[color]] - igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS + coord <- values$d[c("x","y")] + color <- values$TM$clusters_orig %>% + filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% + select(.data$color) %>% as.character() + g <- values$TM$subgraphs[[color]] + igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS }) ### end click cluster subgraphs - + output$NetPlot <- renderVisNetwork({ TMAP() values$networkTM<-igraph2vis(g=values$TM$net$graph,curved=(input$coc.curved=="Yes"), @@ -4209,7 +4217,7 @@ server <- function(input, output,session){ output$TMTableDocument <- DT::renderDT({ TMAP() tmDataDoc <- values$TM$documentToClusters - + DT::datatable(tmDataDoc, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -4244,7 +4252,7 @@ server <- function(input, output,session){ values$TM$documentToClusters) list_plot <- list(values$TM$map, values$TM$net$graph) - wb <- addSheetToReport(list_df, list_plot, sheetname="ThematicMap", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df, list_plot, sheetname="ThematicMap", wb=values$wb) values$wb <- wb popUp(title="Thematic Map", type="success") values$myChoices <- sheets(values$wb) @@ -4285,8 +4293,7 @@ server <- function(input, output,session){ ### end of block values$yearSlices <- as.numeric() - #if (is.null(values$nexus)){ - if (is.null(input$numSlices)){ + if (is.null(values$nexus)){ values$yearSlices <- median(values$M$PY, na.rm=TRUE) }else{ for (i in 1:as.integer(input$numSlices)){ @@ -4301,12 +4308,6 @@ server <- function(input, output,session){ validate( need(values$nexus$check != FALSE, "\n\nNo topics in one or more periods. Please select a different set of parameters.") ) - if (input$TEmeasure == "inclusion"){ - TEmeasure <- "Inclusion Index" - } else { - TEmeasure <- "Inclusion Index weighted by Word-Occurrences" - } - values$nexus$params <- rbind(values$nexus$params,c( "Weight index", TEmeasure)) for (i in 1:length(values$yearSlices)){ values$nexus$TM[[i]]$words <- values$nexus$TM[[i]]$words[,-c(4,6)] values$nexus$TM[[i]]$clusters <- values$nexus$TM[[i]]$clusters[,c(9,5:8,11)] @@ -4739,6 +4740,7 @@ server <- function(input, output,session){ TEMAP() tmDataDoc <- values$nexus$TM[[1]]$documentToClusters + DT::datatable(tmDataDoc, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -4897,20 +4899,20 @@ server <- function(input, output,session){ #values$wb <- res$wb values$fileTFP <- screenSh(selector = "#TEPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) - + ## Periods L <- length(values$nexus$TM) wb <- res$wb for (l in 1:L){ if(!is.null(values$nexus$TM[[l]]$words)){ - + list_df <- list(values$nexus$TM[[l]]$params, values$nexus$TM[[l]]$words, values$nexus$TM[[l]]$clusters, values$nexus$TM[[l]]$documentToClusters) list_plot <- list(values$nexus$TM[[l]]$map, values$nexus$TM[[l]]$net$graph) - wb <- addSheetToReport(list_df, list_plot, sheetname=paste("TE_Period_",l,sep=""), wb=wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df, list_plot, sheetname=paste("TE_Period_",l,sep=""), wb=wb) # } } @@ -4988,7 +4990,7 @@ server <- function(input, output,session){ }) observeEvent(input$reportCOCIT,{ - + if(!is.null(values$cocitnet$cluster_res)){ names(values$cocitnet$cluster_res) <- c("Node", "Cluster", "Betweenness", "Closeness", "PageRank") sheetname <- "CoCitNet" @@ -4996,7 +4998,7 @@ server <- function(input, output,session){ list_plot <- list(values$degreePlot) res <- addDataScreenWb(list_df, wb=values$wb, sheetname=sheetname) #values$wb <- res$wb - values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi = values$dpiReport) + values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi=75) values$fileTFP <- screenSh(selector = "#cocitPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) popUp(title="Co-citation Network", type="success") @@ -5151,7 +5153,7 @@ server <- function(input, output,session){ list_df <- list(values$colnet$params, values$colnet$cluster_res) list_plot <- list(values$degreePlot) res <- addDataScreenWb(list_df, wb=values$wb, sheetname=sheetname) - values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi=300) + values$wb <- addGgplotsWb(list_plot, wb=res$wb, sheetname, col=res$col+15, width=12, height=8, dpi=75) values$fileTFP <- screenSh(selector = "#colPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) popUp(title="Collaboration Network", type="success") @@ -5218,7 +5220,7 @@ server <- function(input, output,session){ if(!is.null(values$WMmap$tab)){ list_df <- list(values$WMmap$tab) list_plot <- list(values$WMmap$g) - wb <- addSheetToReport(list_df,list_plot,sheetname = "CollabWorldMap", wb=values$wb, dpi = values$dpiReport) + wb <- addSheetToReport(list_df,list_plot,sheetname = "CollabWorldMap", wb=values$wb) values$wb <- wb popUp(title="Countries' Collaboration World Map", type="success") values$myChoices <- sheets(values$wb) @@ -5235,7 +5237,7 @@ server <- function(input, output,session){ content <- function(file) { wb_export <- copyWorkbook(values$wb) if (nrow(values$list_file)>0){ - wb_export <- addScreenWb(df=values$list_file, wb=wb_export, dpi = values$dpiReport)#, width=10, height=7, dpi=300) + wb_export <- addScreenWb(df=values$list_file, wb=wb_export)#, width=10, height=7, dpi=300) } sheetToRemove <- setdiff(sheets(wb_export),input$reportSheets) if (length(sheetToRemove)>0) for (i in sheetToRemove) removeWorksheet(wb_export,i) @@ -5251,7 +5253,7 @@ server <- function(input, output,session){ output$reportSheets <- renderUI({ prettyCheckboxGroup( inputId = "reportSheets", - label = NULL, + label = NULL, #short2long(df=values$dfLabel, myC=values$myChoices), choices = short2long(df=values$dfLabel, myC=values$myChoices), selected = values$myChoices, icon = icon("check"), @@ -5267,6 +5269,7 @@ server <- function(input, output,session){ updatePrettyCheckboxGroup( session = getDefaultReactiveDomain(), inputId = "reportSheets", + #label = short2long(df=values$dfLabel, myC=values$myChoices), choices = short2long(df=values$dfLabel, myC=values$myChoices), selected = if(!input$noSheets) values$myChoices, prettyOptions = list( @@ -5307,9 +5310,287 @@ server <- function(input, output,session){ values$list_file <- data.frame(sheet=NULL,file=NULL,n=NULL) values$wb <- openxlsx::createWorkbook() } - }, ignoreNULL = TRUE + }, ignoreNULL = TRUE ) + + + # OPTIONS MENU ---- + observe({ + if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ + updateControlbar("controlbar2") + values$checkControlBar <- TRUE + } + if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ + updateControlbar("controlbar2") + values$checkControlBar <- FALSE + } + }) + + # output$controlbar <- renderUI({ + # controlbarMenu( + # controlbarItem( + # h2(strong("Options"),align="center"), + # fluidPage( + # fluidRow( + # column(width = 1), + # column(width=11, + # ### Load Data ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', + # # h3(strong("Import or Load ")), + # # selectInput( + # # "load", + # # label = "Please, choose what to do", + # # choices = c( + # # " " = "null", + # # "Import raw file(s)" = "import", + # # "Load bibliometrix file(s)" = "load", + # # "Use a sample collection" = "demo" + # # ), + # # selected = "null" + # # ), + # # conditionalPanel( + # # condition = "input.load == 'demo'", + # # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), + # # h5(strong("Dataset 'Management'")), + # # em("A collection of scientific articles about the use of bibliometric approaches", + # # "in business and management disciplines."), + # # br(), + # # em("Period: 1985 - 2020 + # # , Source WoS.") + # # ) + # # ), + # # conditionalPanel( + # # condition = "input.load == 'import'", + # # selectInput( + # # "dbsource", + # # label = "Database", + # # choices = c( + # # "Web of Science (WoS/WoK)" = "isi", + # # "Scopus" = "scopus", + # # "Dimensions" = "dimensions", + # # "Lens.org" = "lens", + # # "PubMed" = "pubmed", + # # "Cochrane Library" = "cochrane" + # # ), + # # selected = "isi" + # # ) + # # ), + # # conditionalPanel( + # # condition = "input.load != 'null' & input.load != 'demo'", + # # conditionalPanel( + # # condition = "input.load == 'load'", + # # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") + # # )), + # # fileInput( + # # "file1", + # # "Choose a file", + # # multiple = FALSE, + # # accept = c( + # # ".csv", + # # ".txt", + # # ".ciw", + # # ".bib", + # # ".xlsx", + # # ".zip", + # # ".xls", + # # ".rdata", + # # ".rda", + # # ".rds" + # # ) + # # ) + # # ), + # # conditionalPanel(condition = "input.load != 'null'", + # # actionButton("applyLoad", strong("START"), + # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%"), + # # width = "100%"), + # # tags$hr(), + # # uiOutput("textLog"), + # # tags$hr(), + # # h3(strong( + # # "Export collection" + # # )), + # # selectInput( + # # 'save_file', + # # 'Save as:', + # # choices = c( + # # ' ' = 'null', + # # 'Excel' = 'xlsx', + # # 'R Data Format' = 'RData' + # # ), + # # selected = 'null' + # # ), + # # conditionalPanel(condition = "input.save_file != 'null'", + # # downloadButton("collection.save", strong("Export"), + # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%") + # # ) + # # ), + # ## Gathering Data ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', + # # h3(strong( + # # "Gather data using APIs " + # # )), + # # br(), + # # selectInput( + # # "dbapi", + # # label = "Database", + # # choices = c("DS Dimensions" = "ds", + # # "PubMed" = "pubmed"), + # # selected = "pubmed" + # # ), + # # ## Dimenions API + # # conditionalPanel( + # # condition = "input.dbapi == 'ds'", + # # br(), + # # actionButton("dsShow", h5(strong("1. Configure API request")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # h5(tags$b("Your Query")), + # # verbatimTextOutput("queryLog2", placeholder = FALSE), + # # h5(tags$b("Documents returned using your query")), + # # verbatimTextOutput("sampleLog2", placeholder = FALSE), + # # ), + # # ### Pubmed API + # # conditionalPanel( + # # condition = "input.dbapi == 'pubmed'", + # # br(), + # # actionButton("pmShow", h5(strong("1. Configure API request")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # h5(tags$b("Your Query")), + # # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), + # # h5(tags$b("Documents returned using your query")), + # # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), + # # ), + # # tags$hr(), + # # actionButton("apiApply", h5(strong("2. Download metadata")), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%"), + # # tags$hr(), + # # h3(strong( + # # "Export a bibliometrix file " + # # )), + # # br(), + # # selectInput( + # # 'save_file_api', + # # 'Save as:', + # # choices = c( + # # ' ' = 'null', + # # 'Excel' = 'xlsx', + # # 'R Data Format' = 'RData' + # # ), + # # selected = 'null' + # # ), + # # conditionalPanel(condition = "input.save_file_api != 'null'", + # # downloadButton("collection.save_api", strong("Export"), + # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", + # # width = "100%") + # # ) + # # ), + # ## Filters ---- + # # conditionalPanel(condition = 'input.sidebarmenu == "filters"', + # # h3(strong("Filters")), + # # br(), + # # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", + # # width = "100%", + # # icon = fa_i(name ="play")), + # # h5(" "), + # # box(h6(htmlOutput("textDim")), + # # width = "100%"), + # # br(), + # # uiOutput("selectLA"), + # # uiOutput("sliderPY"), + # # uiOutput("selectType"), + # # uiOutput("sliderTCpY"), + # # selectInput("bradfordSources", + # # label = "Source by Bradford Law Zones", + # # choices = c("Core Sources"="core", + # # "Core + Zone 2 Sources"="zone2", + # # "All Sources"="all"), + # # selected = "all") + # # ), + # ## Annual Scientific Prod ---- + # + # ## Average Cit Per Year ---- + # + # ## Three field Plot ---- + # + # ## Relevant Sources ---- + # + # ## Most Local Cited Sources ---- + # + # ## Bradford Law ---- + # + # ## Source Impact ---- + # + # ## Source Dynamics ---- + # + # ## Most relevant Authors ---- + # + # ## Most Local Cited Authors ---- + # + # ## Authors production over time ---- + # + # ## Lotka law ---- + # + # ## Author Impact ---- + # + # ## Most Relevant Affiliations ---- + # + # ## Affiliations' Production over Time ---- + # + # ## Corresponding Author country ---- + # + # ## Country Scientific Production ---- + # + # ## Countries' Production over Time ---- + # + # ## Most Cited Countries ---- + # + # ## Most Global Cited Documents ---- + # + # ## Most Local Cited Documents ---- + # + # ## Most Local Cited References ---- + # + # ## References spectroscopy + # + # ## Most Frequent Words ---- + # + # ## Wordcloud ---- + # + # ## Tree Map ---- + # + # ## Word dynamics ---- + # + # ## Trend Topic ---- + # + # ## Coupling ---- + # + # ## Co-Occurence Network ---- + # + # ## Thematic Map ---- + # + # ## Thematic Evolution ---- + # + # ## Factorial Analysis ---- + # + # ## Co-citation Network ---- + # + # # ## Historiograph ---- + # + # # ## Collaboration Network ---- + # + # ## Collaboration World Map ---- + # + # ) + # ) + # ) + # ) + # ) + # }) ### screenshot buttons observeEvent(input$screenTFP,{ @@ -5389,12 +5670,24 @@ server <- function(input, output,session){ ) }) - observeEvent(input$applyLoad, { - updateTabItems(session, "sidebarmenu", "loadData") + observeEvent(input$applyMLCSources, { + updateTabItems(session, "sidebarmenu", "localCitedSources") }) - observeEvent(input$apiApply, { - updateTabItems(session, "sidebarmenu", "gathData") + observeEvent(input$applyCOGrowth, { + updateTabItems(session, "sidebarmenu", "COOverTime") + }) + + observeEvent(input$applyMCCountries, { + updateTabItems(session, "sidebarmenu", "mostCitedCountries") + }) + + observeEvent(input$applyCocit, { + updateTabItems(session, "sidebarmenu", "coCitationNetwork") + }) + + observeEvent(input$applyCol, { + updateTabItems(session, "sidebarmenu", "collabNetwork") }) ### settings ---- @@ -5406,10 +5699,6 @@ server <- function(input, output,session){ values$h <- as.numeric(input$h) }) - observeEvent(input$dpiReport, { - values$dpiReport <- as.numeric(input$dpiReport) - }) - } diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 7d095ec0..15796e7d 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -8,13 +8,13 @@ mytitle <- tags$link(tags$a(href = 'https://www.bibliometrix.org/',target="_blan strong("bibliometrix") ) -intro <- "javascript:void(window.open('https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html', '_blank'))" -importData <- "javascript:void(window.open('https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html', '_blank'))" -slides <- "javascript:void(window.open('https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0', '_blank'))" -donation <- "javascript:void(window.open('https://www.bibliometrix.org/home/index.php/donation', '_blank'))" -bibliometrixWeb <- "javascript:void(window.open('https://www.bibliometrix.org/', '_blank'))" -k_synth <- "javascript:void(window.open('https://www.k-synth.unina.it', '_blank'))" -github_aria <- "javascript:void(window.open('https://github.com/massimoaria/bibliometrix', '_blank'))" +intro <- 'https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html' +importData <- 'https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html' +slides <- 'https://bibliometrix.org/biblioshiny/assets/player/KeynoteDHTMLPlayer.html#0' +donation <- 'https://www.bibliometrix.org/home/index.php/donation' +bibliometrixWeb <- 'https://www.bibliometrix.org/' +k_synth <- 'https://www.k-synth.unina.it' +github_aria <- 'https://github.com/massimoaria/bibliometrix' style_opt <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (option button) style_bttn <- "border-radius: 10px; border-width: 3px; font-size: 15px; margin-top: 15px;" # (action buttons) @@ -50,19 +50,19 @@ header <- shinydashboardPlus::dashboardHeader(title = mytitle, icon = icon("question"), badgeStatus = NULL, headerText = strong("Help Menu"), - messageItem( + messageItem2( from = "Package Tutorial", message = "", href = intro, icon = icon("play-circle", lib = "glyphicon") ), - messageItem( + messageItem2( from = "Convert and Import Data", message = "", icon = icon("info-sign", lib = "glyphicon"), href = importData ), - messageItem( + messageItem2( icon = icon("play", lib = "glyphicon"), from = "biblioshiny Tutorial", message = "", @@ -73,7 +73,7 @@ header <- shinydashboardPlus::dashboardHeader(title = mytitle, icon = icon("comment-dollar", lib = "font-awesome"), badgeStatus = NULL, headerText = strong("Donate"), - messageItem( + messageItem2( from = "Donation", message = "", href = donation, @@ -85,19 +85,19 @@ header <- shinydashboardPlus::dashboardHeader(title = mytitle, icon = fa_i(name="cube"), badgeStatus = NULL, headerText = strong("Credits"), - messageItem( + messageItem2( from = "Bibliometrix", message = "", href = bibliometrixWeb, icon = fa_i(name = "globe") ), - messageItem( + messageItem2( from = "K-Synth", message = "", href = k_synth, icon = fa_i(name = "watchman-monitoring") ), - messageItem( + messageItem2( from = "Github", message = "", href = github_aria, @@ -138,26 +138,25 @@ body <- dashboardBody( tags$style(".fa-comment-dollar {font-size: 20px}"), tags$style(".fa-bars {font-size: 20px}"), tags$style(".sidebar-toggle {font-size: 15px}"), - # tags$script( - # 'var dimension = [0, 0]; - # $(document).on("shiny:connected", function(e) { - # dimension[0] = window.innerWidth; - # dimension[1] = window.innerHeight; - # Shiny.onInputChange("dimension", dimension); - # }); - # $(window).resize(function(e) { - # dimension[0] = window.innerWidth; - # dimension[1] = window.innerHeight; - # Shiny.onInputChange("dimension", dimension); - # }); - # $(document).ready(function(){ - # $("a[data-toggle=tab]").on("show.bs.tab", function(e){ - # Shiny.setInputValue("activeTab", $(this).attr("data-value")); - # }); - # }); - # ' - # ) - ), + tags$script( + 'var dimension = [0, 0]; + $(document).on("shiny:connected", function(e) { + dimension[0] = window.innerWidth; + dimension[1] = window.innerHeight; + Shiny.onInputChange("dimension", dimension); + }); + $(window).resize(function(e) { + dimension[0] = window.innerWidth; + dimension[1] = window.innerHeight; + Shiny.onInputChange("dimension", dimension); + }); + $(document).ready(function(){ + $("a[data-toggle=tab]").on("show.bs.tab", function(e){ + Shiny.setInputValue("activeTab", $(this).attr("data-value")); + }); + }); + ' + )), tabItems( #### Homepage ---- ##### home ---- @@ -504,7 +503,7 @@ body <- dashboardBody( )) )), div(style=style_bttn, - title = t_report, + title = t_export, column(1, do.call("downloadBttn", c(export_bttn, list( outputId = "ASPplot.save") @@ -3146,8 +3145,8 @@ body <- dashboardBody( selectInput("TEmeasure", label = "Weight index", choices = c("Inclusion Index" = "inclusion", - "Inclusion Index weighted by Word-Occurrences" = "weighted"#, - #"Stability Index" = "stability" + "Inclusion Index weighted by Word-Occurrences" = "weighted", + "Stability Index" = "stability" ), selected = "weighted") ), @@ -4140,7 +4139,7 @@ body <- dashboardBody( br() ), fluidRow(column(6, - h3("PNG Export Settings:"), + h3("Plot settings:"), br(), sliderTextInput( inputId = "dpi", @@ -4161,20 +4160,6 @@ body <- dashboardBody( choices = seq(5,15), selected = "7" ) - #, - # br(), - # br(), - # h3("Report Export Settings:"), - # br(), - # sliderTextInput( - # inputId = "dpiReport", - # label = "Please select the desired DPI", - # grid = TRUE, - # force_edges = TRUE, - # choices = c("75", "150", "300", "600"), - # width = "70%", - # selected = "75" - # ) ), column(6 ### To insert settings for default path, etc. ) @@ -4184,7 +4169,15 @@ body <- dashboardBody( ) ) - +## Control Bar #### +# controlbar <- shinydashboardPlus::dashboardControlbar(id = "controlbar2", +# uiOutput("controlbar"), +# skin = "light", +# width = 350, +# overlay = FALSE, +# collapsed = TRUE, +# shinyjs::useShinyjs() +# ) ## UI #### ui <- shinydashboardPlus::dashboardPage( #shinyjs::useShinyjs(), From 9b1a1359259c54c8935a3befcffb688a06934d65 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Mon, 9 Jan 2023 21:46:56 +0100 Subject: [PATCH 16/31] Minor fix --- inst/biblioshiny/server.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index 0e412cc1..fde59cf7 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -4293,7 +4293,7 @@ server <- function(input, output,session){ ### end of block values$yearSlices <- as.numeric() - if (is.null(values$nexus)){ + if (is.null(input$numSlices)){ values$yearSlices <- median(values$M$PY, na.rm=TRUE) }else{ for (i in 1:as.integer(input$numSlices)){ From 18be90c59f7e08ca6a6369ce08fdaccd014db08c Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 12:31:24 +0100 Subject: [PATCH 17/31] Fix in Annual Citation per Year --- inst/biblioshiny/server.R | 54 ++++++++++++++++++++++----------------- 1 file changed, 31 insertions(+), 23 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index fde59cf7..d044b364 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -1205,29 +1205,37 @@ server <- function(input, output,session){ ## Annual Citation per Year ---- output$AnnualTotCitperYearPlot <- renderPlotly({ - if (values$results[[1]]=="NA"){ - values$results=biblioAnalysis(values$M)} - x=values$results - - # Total Citation Plot - Table2=aggregate(x$TotalCitation,by=list(x$Years),length) - Table2$xx=aggregate(x$TotalCitation,by=list(x$Years),mean)$x - Table2$Annual=NA - d=date() - d=as.numeric(substring(d,nchar(d)-3,nchar(d))) - Table2$Years=d-Table2$Group.1 - Table2$Annual=Table2$xx/Table2$Years - names(Table2)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") - - ## inserting missing years - YY=setdiff(seq(min(x$Years,na.rm=TRUE),max(x$Years,na.rm=TRUE)),Table2$Year) - if (length(YY>0)){ - YY=data.frame(YY,0,0,0,0) - names(YY)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") - Table2=rbind(Table2,YY) - Table2=Table2[order(Table2$Year),] - row.names(Table2)=Table2$Year} - + # if (values$results[[1]]=="NA"){ + # values$results=biblioAnalysis(values$M)} + # x=values$results + # + # # Total Citation Plot + # Table2=aggregate(x$TotalCitation,by=list(x$Years),length) + # Table2$xx=aggregate(x$TotalCitation,by=list(x$Years),mean)$x + # Table2$Annual=NA + # d=date() + # d=as.numeric(substring(d,nchar(d)-3,nchar(d))) + # Table2$Years=d-Table2$Group.1 + # Table2$Annual=Table2$xx/Table2$Years + # names(Table2)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") + # + # ## inserting missing years + # YY=setdiff(seq(min(x$Years,na.rm=TRUE),max(x$Years,na.rm=TRUE)),Table2$Year) + # if (length(YY>0)){ + # YY=data.frame(YY,0,0,0,0) + # names(YY)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") + # Table2=rbind(Table2,YY) + # Table2=Table2[order(Table2$Year),] + # row.names(Table2)=Table2$Year} + Table2 <- M %>% + mutate(current_year = as.numeric(substr(Sys.Date(),1,4))+1) %>% + group_by(PY) %>% + summarize(MeanTCperArt=round(mean(TC, na.rm=TRUE),2), + N =n()) %>% + mutate(MeanTCperYear = round(MeanTCperArt/(current_year-.data$PY),2), + CitableYears = current_year-PY) %>% + rename(Year = PY) %>% + drop_na() values$AnnualTotCitperYear=Table2 Table2$group="A" From 33ce76db58ab58632df9895244f266ba0d29dbde Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 16:54:36 +0100 Subject: [PATCH 18/31] Minor fix --- inst/biblioshiny/server.R | 24 +----------------------- 1 file changed, 1 insertion(+), 23 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index d044b364..f40d8020 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -1205,29 +1205,7 @@ server <- function(input, output,session){ ## Annual Citation per Year ---- output$AnnualTotCitperYearPlot <- renderPlotly({ - # if (values$results[[1]]=="NA"){ - # values$results=biblioAnalysis(values$M)} - # x=values$results - # - # # Total Citation Plot - # Table2=aggregate(x$TotalCitation,by=list(x$Years),length) - # Table2$xx=aggregate(x$TotalCitation,by=list(x$Years),mean)$x - # Table2$Annual=NA - # d=date() - # d=as.numeric(substring(d,nchar(d)-3,nchar(d))) - # Table2$Years=d-Table2$Group.1 - # Table2$Annual=Table2$xx/Table2$Years - # names(Table2)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") - # - # ## inserting missing years - # YY=setdiff(seq(min(x$Years,na.rm=TRUE),max(x$Years,na.rm=TRUE)),Table2$Year) - # if (length(YY>0)){ - # YY=data.frame(YY,0,0,0,0) - # names(YY)=c("Year","N","MeanTCperArt","MeanTCperYear","CitableYears") - # Table2=rbind(Table2,YY) - # Table2=Table2[order(Table2$Year),] - # row.names(Table2)=Table2$Year} - Table2 <- M %>% + Table2 <- values$M %>% mutate(current_year = as.numeric(substr(Sys.Date(),1,4))+1) %>% group_by(PY) %>% summarize(MeanTCperArt=round(mean(TC, na.rm=TRUE),2), From 5cbe4a896a1712c492cca46f19c05fded7d9991e Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 18:33:53 +0100 Subject: [PATCH 19/31] Minor fixes --- inst/biblioshiny/server.R | 332 ++++---------------------------------- inst/biblioshiny/ui.R | 2 +- inst/biblioshiny/utils.R | 4 +- 3 files changed, 36 insertions(+), 302 deletions(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index f40d8020..d56cbf00 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -3608,7 +3608,8 @@ server <- function(input, output,session){ stemming=input$CMstemming, size=input$sizeCM, label.term = input$CMlabeling, n.labels=input$CMn.labels, repel=FALSE) - + values$CM$data <- values$CM$data[,c(1,5,2)] + values$CM$clusters <- values$CM$clusters[,c(7,1:4,6)] validate( need(values$CM$nclust > 0, "\n\nNo clusters in one or more periods. Please select a different set of parameters.") ) @@ -3639,8 +3640,8 @@ server <- function(input, output,session){ output$CMTable <- DT::renderDT({ CMMAP() - cmData=values$CM$data[,c(2,1,3,5)] - + #cmData=values$CM$data[,c(2,1,3,5)] + cmData <- values$CM$data DT::datatable(cmData, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -3665,8 +3666,8 @@ server <- function(input, output,session){ output$CMTableCluster <- DT::renderDT({ CMMAP() - cmData=values$CM$clusters[,c(7,1:4,6)] - + #cmData=values$CM$clusters[,c(7,1:4,6)] + cmData <- values$CM$clusters DT::datatable(cmData, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -3689,6 +3690,23 @@ server <- function(input, output,session){ formatStyle(names(cmData), backgroundColor = 'white') }) + observeEvent(input$reportCM,{ + if(!is.null(values$CM$data)){ + popUp(title=NULL, type="waiting") + list_df <- list(values$CM$params, + values$CM$data, + values$CM$clusters) + list_plot <- list(values$CM$map, + values$CM$net$graph) + wb <- addSheetToReport(list_df, list_plot, sheetname="CouplingMap", wb=values$wb) + values$wb <- wb + popUp(title="Coupling Map", type="success") + values$myChoices <- sheets(values$wb) + } else { + popUp(type="error") + } + }) + # CONCEPTUAL STRUCTURE ---- ### Network approach ---- #### Co-occurrences network ---- @@ -5302,282 +5320,17 @@ server <- function(input, output,session){ # OPTIONS MENU ---- - observe({ - if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ - updateControlbar("controlbar2") - values$checkControlBar <- TRUE - } - if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ - updateControlbar("controlbar2") - values$checkControlBar <- FALSE - } - }) - - # output$controlbar <- renderUI({ - # controlbarMenu( - # controlbarItem( - # h2(strong("Options"),align="center"), - # fluidPage( - # fluidRow( - # column(width = 1), - # column(width=11, - # ### Load Data ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "loadData"', - # # h3(strong("Import or Load ")), - # # selectInput( - # # "load", - # # label = "Please, choose what to do", - # # choices = c( - # # " " = "null", - # # "Import raw file(s)" = "import", - # # "Load bibliometrix file(s)" = "load", - # # "Use a sample collection" = "demo" - # # ), - # # selected = "null" - # # ), - # # conditionalPanel( - # # condition = "input.load == 'demo'", - # # helpText(h4(strong("The use of bibliometric approaches in business and management disciplines.")), - # # h5(strong("Dataset 'Management'")), - # # em("A collection of scientific articles about the use of bibliometric approaches", - # # "in business and management disciplines."), - # # br(), - # # em("Period: 1985 - 2020 - # # , Source WoS.") - # # ) - # # ), - # # conditionalPanel( - # # condition = "input.load == 'import'", - # # selectInput( - # # "dbsource", - # # label = "Database", - # # choices = c( - # # "Web of Science (WoS/WoK)" = "isi", - # # "Scopus" = "scopus", - # # "Dimensions" = "dimensions", - # # "Lens.org" = "lens", - # # "PubMed" = "pubmed", - # # "Cochrane Library" = "cochrane" - # # ), - # # selected = "isi" - # # ) - # # ), - # # conditionalPanel( - # # condition = "input.load != 'null' & input.load != 'demo'", - # # conditionalPanel( - # # condition = "input.load == 'load'", - # # helpText(em("Load a collection in XLSX or R format previously exported from bibliometrix") - # # )), - # # fileInput( - # # "file1", - # # "Choose a file", - # # multiple = FALSE, - # # accept = c( - # # ".csv", - # # ".txt", - # # ".ciw", - # # ".bib", - # # ".xlsx", - # # ".zip", - # # ".xls", - # # ".rdata", - # # ".rda", - # # ".rds" - # # ) - # # ) - # # ), - # # conditionalPanel(condition = "input.load != 'null'", - # # actionButton("applyLoad", strong("START"), - # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%"), - # # width = "100%"), - # # tags$hr(), - # # uiOutput("textLog"), - # # tags$hr(), - # # h3(strong( - # # "Export collection" - # # )), - # # selectInput( - # # 'save_file', - # # 'Save as:', - # # choices = c( - # # ' ' = 'null', - # # 'Excel' = 'xlsx', - # # 'R Data Format' = 'RData' - # # ), - # # selected = 'null' - # # ), - # # conditionalPanel(condition = "input.save_file != 'null'", - # # downloadButton("collection.save", strong("Export"), - # # style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%") - # # ) - # # ), - # ## Gathering Data ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "gathData"', - # # h3(strong( - # # "Gather data using APIs " - # # )), - # # br(), - # # selectInput( - # # "dbapi", - # # label = "Database", - # # choices = c("DS Dimensions" = "ds", - # # "PubMed" = "pubmed"), - # # selected = "pubmed" - # # ), - # # ## Dimenions API - # # conditionalPanel( - # # condition = "input.dbapi == 'ds'", - # # br(), - # # actionButton("dsShow", h5(strong("1. Configure API request")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # h5(tags$b("Your Query")), - # # verbatimTextOutput("queryLog2", placeholder = FALSE), - # # h5(tags$b("Documents returned using your query")), - # # verbatimTextOutput("sampleLog2", placeholder = FALSE), - # # ), - # # ### Pubmed API - # # conditionalPanel( - # # condition = "input.dbapi == 'pubmed'", - # # br(), - # # actionButton("pmShow", h5(strong("1. Configure API request")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # h5(tags$b("Your Query")), - # # verbatimTextOutput("pmQueryLog2", placeholder = FALSE), - # # h5(tags$b("Documents returned using your query")), - # # verbatimTextOutput("pmSampleLog2", placeholder = FALSE), - # # ), - # # tags$hr(), - # # actionButton("apiApply", h5(strong("2. Download metadata")), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%"), - # # tags$hr(), - # # h3(strong( - # # "Export a bibliometrix file " - # # )), - # # br(), - # # selectInput( - # # 'save_file_api', - # # 'Save as:', - # # choices = c( - # # ' ' = 'null', - # # 'Excel' = 'xlsx', - # # 'R Data Format' = 'RData' - # # ), - # # selected = 'null' - # # ), - # # conditionalPanel(condition = "input.save_file_api != 'null'", - # # downloadButton("collection.save_api", strong("Export"), - # # style ="border-radius: 10px; border-width: 3px;font-size: 20px;", - # # width = "100%") - # # ) - # # ), - # ## Filters ---- - # # conditionalPanel(condition = 'input.sidebarmenu == "filters"', - # # h3(strong("Filters")), - # # br(), - # # actionButton("applyFilter", strong("Run"),style ="border-radius: 10px; border-width: 3px; font-size: 20px;", - # # width = "100%", - # # icon = fa_i(name ="play")), - # # h5(" "), - # # box(h6(htmlOutput("textDim")), - # # width = "100%"), - # # br(), - # # uiOutput("selectLA"), - # # uiOutput("sliderPY"), - # # uiOutput("selectType"), - # # uiOutput("sliderTCpY"), - # # selectInput("bradfordSources", - # # label = "Source by Bradford Law Zones", - # # choices = c("Core Sources"="core", - # # "Core + Zone 2 Sources"="zone2", - # # "All Sources"="all"), - # # selected = "all") - # # ), - # ## Annual Scientific Prod ---- - # - # ## Average Cit Per Year ---- - # - # ## Three field Plot ---- - # - # ## Relevant Sources ---- - # - # ## Most Local Cited Sources ---- - # - # ## Bradford Law ---- - # - # ## Source Impact ---- - # - # ## Source Dynamics ---- - # - # ## Most relevant Authors ---- - # - # ## Most Local Cited Authors ---- - # - # ## Authors production over time ---- - # - # ## Lotka law ---- - # - # ## Author Impact ---- - # - # ## Most Relevant Affiliations ---- - # - # ## Affiliations' Production over Time ---- - # - # ## Corresponding Author country ---- - # - # ## Country Scientific Production ---- - # - # ## Countries' Production over Time ---- - # - # ## Most Cited Countries ---- - # - # ## Most Global Cited Documents ---- - # - # ## Most Local Cited Documents ---- - # - # ## Most Local Cited References ---- - # - # ## References spectroscopy - # - # ## Most Frequent Words ---- - # - # ## Wordcloud ---- - # - # ## Tree Map ---- - # - # ## Word dynamics ---- - # - # ## Trend Topic ---- - # - # ## Coupling ---- - # - # ## Co-Occurence Network ---- - # - # ## Thematic Map ---- - # - # ## Thematic Evolution ---- - # - # ## Factorial Analysis ---- - # - # ## Co-citation Network ---- - # - # # ## Historiograph ---- - # - # # ## Collaboration Network ---- - # - # ## Collaboration World Map ---- - # - # ) - # ) - # ) - # ) - # ) + # observe({ + # if (!(input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & !isTRUE(values$checkControlBar)){ + # updateControlbar("controlbar2") + # values$checkControlBar <- TRUE + # } + # if ((input$sidebarmenu %in% c("biblioshinyy","mainInfo", "report")) & isTRUE(values$checkControlBar)){ + # updateControlbar("controlbar2") + # values$checkControlBar <- FALSE + # } # }) - + ### screenshot buttons observeEvent(input$screenTFP,{ screenshot( @@ -5656,25 +5409,6 @@ server <- function(input, output,session){ ) }) - observeEvent(input$applyMLCSources, { - updateTabItems(session, "sidebarmenu", "localCitedSources") - }) - - observeEvent(input$applyCOGrowth, { - updateTabItems(session, "sidebarmenu", "COOverTime") - }) - - observeEvent(input$applyMCCountries, { - updateTabItems(session, "sidebarmenu", "mostCitedCountries") - }) - - observeEvent(input$applyCocit, { - updateTabItems(session, "sidebarmenu", "coCitationNetwork") - }) - - observeEvent(input$applyCol, { - updateTabItems(session, "sidebarmenu", "collabNetwork") - }) ### settings ---- observeEvent(input$dpi, { diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 15796e7d..1f9cfd58 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -2477,7 +2477,7 @@ body <- dashboardBody( title = t_report, column(1, do.call("actionBttn", c(report_bttn, list( - inputId = "reportCC") + inputId = "reportCM") )) )), div(style=style_bttn, diff --git a/inst/biblioshiny/utils.R b/inst/biblioshiny/utils.R index 3c028ea6..b3e5ec6b 100644 --- a/inst/biblioshiny/utils.R +++ b/inst/biblioshiny/utils.R @@ -1523,13 +1523,13 @@ dfLabel <- function(){ short <- c("Empty Report", "MainInfo", "AnnualSciProd", "AnnualCitPerYear", "ThreeFieldsPlot", "MostRelSources", "MostLocCitSources", "BradfordLaw", "SourceLocImpact", "SourceProdOverTime", "MostRelAuthors", "MostLocCitAuthors", "AuthorProdOverTime", "LotkaLaw", "AuthorLocImpact", "MostRelAffiliations", "AffOverTime", "CorrAuthCountries", "CountrySciProd", "CountryProdOverTime", "MostCitCountries", "MostGlobCitDocs", "MostLocCitDocs", "MostLocCitRefs", "RPYS", - "MostFreqWords", "WordCloud", "TreeMap", "WordFreqOverTime", "TrendTopics", "CoWordNet", "ThematicMap", "ThematicEvolution", + "MostFreqWords", "WordCloud", "TreeMap", "WordFreqOverTime", "TrendTopics", "CouplingMap", "CoWordNet", "ThematicMap", "ThematicEvolution", "TE_Period_1","TE_Period_2", "TE_Period_3","TE_Period_4","TE_Period_5", "FactorialAnalysis", "CoCitNet", "Historiograph", "CollabNet", "CollabWorldMap") long <- c("Empty Report", "Main Information", "Annual Scientific Production", "Annual Citation Per Year", "Three-Field Plot", "Most Relevant Sources","Most Local Cited Sources","Bradfords Law","Sources Local Impact", "Sources Production over Time", "Most Relevant Authors","Most Local Cited Authors","Authors Production over Time", "Lotkas Law","Authors Local Impact","Most Relevant Affiliations","Affiliations Production over Time", "Corresponding Authors Countries","Countries Scientific Production","Countries Production over Time","Most Cited Countries", "Most Global Cited Documents","Most Local Cited Documents","Most Local Cited References","Reference Spectroscopy", - "Most Frequent Words","WordCloud", "TreeMap", "Words Frequency over Time", "Trend Topics", "Co-occurence Network", "Thematic Map", "Thematic Evolution", + "Most Frequent Words","WordCloud", "TreeMap", "Words Frequency over Time", "Trend Topics", "Clustering by Coupling","Co-occurence Network", "Thematic Map", "Thematic Evolution", "TE_Period_1","TE_Period_2", "TE_Period_3","TE_Period_4","TE_Period_5","Factorial Analysis", "Co-citation Network", "Historiograph", "Collaboration Network", "Countries Collaboration World Map") data.frame(short=short,long=long) } From a74323b6efb1f960c9c7c4004c5ca85daeab7bc3 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 23:14:03 +0100 Subject: [PATCH 20/31] Solved issue with ISO Source names generation --- R/conceptualStructure.R | 38 +++++++------- R/couplingMap.R | 19 ++++++- R/dimensions2df.R | 9 +++- R/zzz.R | 106 ++++++++++++++++++++++++---------------- 4 files changed, 105 insertions(+), 67 deletions(-) diff --git a/R/conceptualStructure.R b/R/conceptualStructure.R index df0a8e3c..7ab00136 100644 --- a/R/conceptualStructure.R +++ b/R/conceptualStructure.R @@ -409,36 +409,34 @@ conceptualStructure<-function(M,field="ID", ngrams=1, method="MCA", quali.supp=N b_doc_TC <- b_doc_TC + annotation_custom(logo, xmin = xl[1], xmax = xl[2], ymin = yl[1], ymax = yl[2]) ## - params <- list(field = field, - ngrams = ngrams, - method=method, - quali.supp=quali.supp, - quanti.supp=quanti.supp, - minDegree=minDegree, - clust=clust, - k.max=k.max, - stemming = stemming, - labelsize=labelsize, - documents=documents, - graph=graph, - remove.terms = remove.terms, - synonyms = synonyms) - - params <- data.frame(params=names(unlist(params)),values=unlist(params), row.names = NULL) if (isTRUE(graph)){plot(b_doc_TC)} semanticResults=list(net=CW,res=res.mca,km.res=km.res,graph_terms=b,graph_dendogram=b_dend, - graph_documents_Contrib=b_doc,graph_documents_TC=b_doc_TC,docCoord=docCoord, - params=params) + graph_documents_Contrib=b_doc,graph_documents_TC=b_doc_TC,docCoord=docCoord) }else{ semanticResults=list(net=CW,res=res.mca,km.res=km.res,graph_terms=b,graph_dendogram=b_dend, - graph_documents_Contrib=NULL,graph_documents_TC=NULL,docCoord=NULL, - params=params) + graph_documents_Contrib=NULL,graph_documents_TC=NULL,docCoord=NULL) } + params <- list(field = field, + ngrams = ngrams, + method=method, + quali.supp=quali.supp, + quanti.supp=quanti.supp, + minDegree=minDegree, + clust=clust, + k.max=k.max, + stemming = stemming, + labelsize=labelsize, + documents=documents, + graph=graph, + remove.terms = remove.terms, + synonyms = synonyms) + + semanticResults$params <- data.frame(params=names(unlist(params)),values=unlist(params), row.names = NULL) return(semanticResults) diff --git a/R/couplingMap.R b/R/couplingMap.R index a2c8fafa..84f43071 100644 --- a/R/couplingMap.R +++ b/R/couplingMap.R @@ -195,7 +195,22 @@ couplingMap <- function(M, analysis = "documents", field="CR", n=500, label.term row.names(df)=NULL df <- df %>% rename(items = .data$words) - results=list(map=g, clusters=df, data=df_lab,nclust=dim(df)[1], NCS = D, net=Net) + params <- list(analysis = analysis, + field=field, + n=n, + minfreq=minfreq, + label.term=label.term, + ngrams=ngrams, + impact.measure=impact.measure, + stemming=stemming, + n.labels=n.labels, + size=size, + community.repulsion = community.repulsion, + repel=repel, + cluster=cluster) + params <- data.frame(params=names(unlist(params)),values=unlist(params), row.names = NULL) + + results=list(map=g, clusters=df, data=df_lab,nclust=dim(df)[1], NCS = D, net=Net, params=params) return(results) } @@ -315,7 +330,7 @@ labeling <- function(M, df_lab, term, n, n.labels, analysis, ngrams){ #clusters <- unique(df$Cluster) #w <- character(length(clusters)) - df$SR <- df$documents + df$SR <- df[,1] tab_global <- tableTag(df, term) tab_global <- data.frame(label=names(tab_global),tot=as.numeric(tab_global), n=nrow(M),stringsAsFactors = FALSE) diff --git a/R/dimensions2df.R b/R/dimensions2df.R index 7f8877c5..72c1c554 100644 --- a/R/dimensions2df.R +++ b/R/dimensions2df.R @@ -76,7 +76,7 @@ dimensions2df <- function(file, format = "csv") { postprocessingDim <- function(DATA) { - DATA <- data.frame(lapply(DATA, toupper), stringsAsFactors = FALSE) + # DATA <- data.frame(lapply(DATA, toupper), stringsAsFactors = FALSE) ## Converting original references in WOS format (AU, PY, SO, VOL, NUM, DOI) if ("Cited.references" %in% names(DATA)) { @@ -232,15 +232,20 @@ postprocessingDim <- function(DATA) { if (("SO" %in% names(DATA)) & ("Anthology.title" %in% names(DATA))) { ind <- which(is.na(DATA$SO) | DATA$SO=="") DATA$SO[ind] <- DATA$Anthology.title[ind] - DATA$SO[DATA$SO==""] <- NA + DATA$SO[is.na(DATA$SO) | DATA$SO==""] <- "NA" } if (!("SO" %in% names(DATA))) { DATA$SO <- "NA" } + #### + cat("\nGenerating ISO Source names...") DATA$JI <- sapply(DATA$SO, AbbrevTitle, USE.NAMES = FALSE) DATA$J9 <- gsub("\\.","",DATA$JI) + #### + + DATA <- data.frame(lapply(DATA, toupper), stringsAsFactors = FALSE) DATA$PY <- as.numeric(DATA$PY) diff --git a/R/zzz.R b/R/zzz.R index a506e0dc..76d4dcca 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -536,12 +536,7 @@ StatNodes <- ggplot2::ggproto("StatNodes", ggplot2::Stat, ### Credits to Patrick Barks. Function is a fork of the package Abbrev AbbrevTerm <- function(x, check = TRUE) { - # data("isodata",envir=environment()) - # ltwa_phrase <- ltwa_phrase - # ltwa_prefix <- ltwa_prefix - # ltwa_singles <- ltwa_singles - # df_artcon <- df_artcon - # df_prep <- df_prep + if (check == FALSE) { out <- x } else { @@ -557,37 +552,40 @@ AbbrevTerm <- function(x, check = TRUE) { is_title <- ch1 == toupper(ch1) # check for whole word match - #int_whole_match <- stringi::stri_cmp_equiv(x, ltwa_singles$WORD, strength = 1) - int_whole_match <- identical(x, ltwa_singles$WORD) + # TODO: find way to deal with multiple whole word matches (e.g. w/ and w/o diacritics) + int_whole_match <- stringi::stri_cmp_equiv(x, ltwa_singles$WORD, strength = 1) ind_whole_match <- which(int_whole_match == TRUE) if (length(ind_whole_match > 0)) { + # if whole-word match is found, return corresponding abbrev (if no abbrev, + # return original x) abbrev <- ltwa_singles$ABBREVIATIONS[ind_whole_match] word <- ltwa_singles$WORD[ind_whole_match] out <- ifelse(is.na(abbrev), word, abbrev) } else { # else, find matching prefix - lgl_prefix <- stringr::str_starts(x, ltwa_prefix$WORD) - #lgl_prefix <- stringi::stri_startswith_coll(x, ltwa_prefix$WORD, strength = 1) + # TODO: give preference to matches with higher strength + lgl_prefix <- stringi::stri_startswith_coll(x, ltwa_prefix$WORD, strength = 1) ind_prefix <- which(lgl_prefix == TRUE) # choose abbrev based on number of matching prefixes (0, 1, or 2+) if (length(ind_prefix) == 0) { + # if no matching prefixes, return original x out <- x } else if (length(ind_prefix) == 1) { + # if one matching prefixes, return corresponding abbrev out <- ltwa_prefix$ABBREVIATIONS[ind_prefix] if (is.na(out)) out <- x } else { + # if multiple matching prefixes, choose abbrev from longest match ind_prefix <- ind_prefix[which.max(nchar(ltwa_prefix$WORD[ind_prefix]))] out <- ltwa_prefix$ABBREVIATIONS[ind_prefix] } } # if x contains only latin chars, remove any diacritics from abbrev - if (stringr::str_conv(x, 'Latin-ASCII') == x) { - #if (stringi::stri_trans_general(x, 'Latin-ASCII') == x) { - #out <- stringi::stri_trans_general(out, 'Latin-ASCII') - out <- stringr::str_conv(out, 'Latin-ASCII') + if (stringi::stri_trans_general(x, 'Latin-ASCII') == x) { + out <- stringi::stri_trans_general(out, 'Latin-ASCII') } # if x is title case, convert out to title case @@ -595,18 +593,17 @@ AbbrevTerm <- function(x, check = TRUE) { out <- ToTitleCase(out) } } - + + # return return(out) } + ### Credits to Patrick Barks. Function is a fork of the package Abbrev AbbrevTitle <- function(x) { - # data("isodata",envir=environment()) - # ltwa_phrase <- ltwa_phrase - # ltwa_prefix <- ltwa_prefix - # ltwa_singles <- ltwa_singles - # df_artcon <- df_artcon - # df_prep <- df_prep + ind <- rank(-nchar(ltwa_phrase$WORD), ties.method = "last") + ltwa_phrase[ind,] <- ltwa_phrase + # check for invalid x if(length(x) > 1) { stop('Please provide a single string (length(x) should equal 1)') @@ -616,71 +613,78 @@ AbbrevTitle <- function(x) { # individual words/terms x <- gsub('[[:space:]]\\(.+\\)|\\,|\\.', '', x) xv <- unlist(strsplit(x, ' ')) + + # if title contains only one word, return that word if (length(xv) == 1) { out <- ToTitleCase(xv) } else { + # otherwise... check for matching multi-word phrases + + # vector to track which elements of xv already abbreviated xv_which_abb <- logical(length(xv)) + # search for multi-word matches (e.g. South Pacific) lgl_phrase <- sapply(ltwa_phrase$WORD, function(y) grepl(y, tolower(x)), USE.NAMES = FALSE) ind_phrase <- which(lgl_phrase) + # if any matching multi-word phrases if (length(ind_phrase) > 0) { + for (i in 1:length(ind_phrase)) { match_phrase <- unlist(strsplit(ltwa_phrase$WORD[ind_phrase[i]], '[[:space:]]')) match_abb <- ltwa_phrase$ABBREVIATIONS[ind_phrase[i]] ind_match <- sapply(match_phrase, function(y) grep(y, tolower(xv)), USE.NAMES = FALSE) # should only find sequential matches - xv[ind_match[1]] <- match_abb - xv_which_abb[ind_match[1]] <- TRUE - xv <- xv[-ind_match[-1]] - xv_which_abb <- xv_which_abb[-ind_match[-1]] + if (length(ind_match[[1]])>0){ + ind <- ind_match[[1]]:(ind_match[[1]]+length(ind_match)-1) + xv[ind[1]] <- match_abb + xv <- c(xv[-ind[-1]]) + xv_which_abb[ind[1]] <- TRUE + xv_which_abb <- c(xv_which_abb[-ind[-1]]) + } } } - + + # if title fully matches multi-word phrase(s), return if (all(xv_which_abb == TRUE)) { out <- xv } else { - - CheckPrep <- function(x, check) { - if(check == TRUE) { - return(ifelse(tolower(x) %in% df_prep$word, TRUE, FALSE)) - } else { - return(FALSE) - } - } + # otherwise... deal with prepositions, articles, and conjunctions + # remove prepositions not at beginning of word ind_rem_prep <- c(FALSE, mapply(CheckPrep, USE.NAMES = F, x = xv[-1], check = !xv_which_abb[-1])) xv <- xv[!ind_rem_prep] xv_which_abb <- xv_which_abb[!ind_rem_prep] - CheckArtCon <- function(x, check) { - if(check == TRUE) { - return(ifelse(tolower(x) %in% df_artcon$word, TRUE, FALSE)) - } else { - return(FALSE) - } - } - + # remove articles and conjunctions ind_rem_artcon <- mapply(CheckArtCon, USE.NAMES = F, x = xv, check = !xv_which_abb) xv <- xv[!ind_rem_artcon] xv_which_abb <- xv_which_abb[!ind_rem_artcon] + # remove d' and l', if followed by character xv <- gsub("^d'(?=[[:alpha:]])|^l'(?=[[:alpha:]])", "", xv, ignore.case = TRUE, perl = TRUE) + # if title fully matches multi-word phrase(s) (minus articles/conjunctions), return if (all(xv_which_abb == TRUE)) { out <- xv } else { - + # otherwise... check for hyphenated words + + # check for hyphenated words ind_dash <- grep('[[:alpha:]]-[[:alpha:]]', xv) if (length(ind_dash) > 0) { + # if hyphens, split hyphenated strings into vectors xv <- unlist(strsplit(xv, '-')) + # update xv_which_abb based on hyphens for(i in length(ind_dash):1) { xv_which_abb <- append(xv_which_abb, FALSE, ind_dash[i]) } } + # abbreviate all words in title (excluding multi-word phrases) abbrev_full <- mapply(AbbrevTerm, x = xv, check = !xv_which_abb, USE.NAMES = F) + # add dashes back in, if applicable if (length(ind_dash) > 0) { for(i in 1:length(ind_dash)) { dashed_terms <- abbrev_full[c(ind_dash[i], ind_dash[i] + 1)] @@ -689,6 +693,7 @@ AbbrevTitle <- function(x) { } } + # collapse title to vector out <- paste(abbrev_full, collapse = ' ') } } @@ -700,3 +705,18 @@ ToTitleCase <- function(x) { paste0(toupper(substr(x, 1, 1)), substr(x, 2, nchar(x))) } +CheckPrep <- function(x, check) { + if(check == TRUE) { + return(ifelse(tolower(x) %in% df_prep$word, TRUE, FALSE)) + } else { + return(FALSE) + } +} + +CheckArtCon <- function(x, check) { + if(check == TRUE) { + return(ifelse(tolower(x) %in% df_artcon$word, TRUE, FALSE)) + } else { + return(FALSE) + } +} From 25b9ee42fa3b9e8224ebba6452207ec7a6f74dd2 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 23:14:31 +0100 Subject: [PATCH 21/31] Minor fix --- R/dimensions2df.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/R/dimensions2df.R b/R/dimensions2df.R index 72c1c554..6f22a800 100644 --- a/R/dimensions2df.R +++ b/R/dimensions2df.R @@ -240,7 +240,7 @@ postprocessingDim <- function(DATA) { } #### - cat("\nGenerating ISO Source names...") + cat("\nCreating ISO Source names...") DATA$JI <- sapply(DATA$SO, AbbrevTitle, USE.NAMES = FALSE) DATA$J9 <- gsub("\\.","",DATA$JI) #### From a05e4b2b6536c3d04a0456fe0c55a4b72dd70447 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Tue, 10 Jan 2023 23:24:11 +0100 Subject: [PATCH 22/31] Minor fix --- inst/biblioshiny/server.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index d56cbf00..ca3f7457 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -1205,8 +1205,8 @@ server <- function(input, output,session){ ## Annual Citation per Year ---- output$AnnualTotCitperYearPlot <- renderPlotly({ + current_year = as.numeric(substr(Sys.Date(),1,4))+1 Table2 <- values$M %>% - mutate(current_year = as.numeric(substr(Sys.Date(),1,4))+1) %>% group_by(PY) %>% summarize(MeanTCperArt=round(mean(TC, na.rm=TRUE),2), N =n()) %>% From 73d99cd8702c01fd3cc2a5fa7755bf257c1f145c Mon Sep 17 00:00:00 2001 From: massimoaria Date: Wed, 11 Jan 2023 18:55:33 +0100 Subject: [PATCH 23/31] updated .gitignore --- .gitignore | 3 +++ 1 file changed, 3 insertions(+) diff --git a/.gitignore b/.gitignore index ea0b30ad..3ce533de 100644 --- a/.gitignore +++ b/.gitignore @@ -6,11 +6,14 @@ .txt .bib .Ruserdata +.DS_Store VOSviewer.jar network.net Rubbish desktop.ini vignette.txt inst/doc +inst/biblioshiny/__MACOSX +inst/biblioshiny/rsconnect _gh-pages From aa5d91054bce3e53b9c2b4031896d25d158bb87b Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 10:06:54 +0100 Subject: [PATCH 24/31] Added the function missingData() --- NAMESPACE | 1 + R/missingData.R | 66 ++++++++++++++++++++++++++++++++++++++++++++++ man/missingData.Rd | 33 +++++++++++++++++++++++ 3 files changed, 100 insertions(+) create mode 100644 R/missingData.R create mode 100644 man/missingData.Rd diff --git a/NAMESPACE b/NAMESPACE index 3f856ca8..f452fc41 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -26,6 +26,7 @@ export(localCitations) export(lotka) export(mergeDbSources) export(metaTagExtraction) +export(missingData) export(net2VOSviewer) export(networkPlot) export(networkStat) diff --git a/R/missingData.R b/R/missingData.R new file mode 100644 index 00000000..b2a5e538 --- /dev/null +++ b/R/missingData.R @@ -0,0 +1,66 @@ +#' Completeness of bibliographic metadata +#' +#' It calculates the percentage of missing data in the metadata of a bibliographic data frame. +#' +#' Each metadata is assigned a status c("Excellent," "Good," "Acceptable," "Critical," "Completely missing") +#' depending on the percentage of missing data ("0%," "1% to 10%," "11% to 20%"m "21% to 99%," "100%"). +#' +#' The results of the function allow us to understand which analyses can be performed with bibliometrix +#' and which cannot based on the completeness (or status) of different metadata. +#' @param M is a bibliographic data frame obtained by \code{\link{convert2df}} function. +#' +#' @return The function \code{missingData} returns a list containing two objects: +#' \tabular{lll}{ +#' \code{allTags} \tab \tab is a data frame including results for all original metadata tags from the collection\cr +#' \code{mandatoryTags}\tab \tab is a data frame that included only the tags needed for analysis with bibliometrix and biblioshiny.} +#' +#' @examples +#' data(scientometrics, package = "bibliometrixData") +#' res <- missingData(scientometrics) +#' print(res$mandatoryTags) +#' +#' @export +#' +missingData <- function(df) { + cols <- names(df) + missing_counts <- sapply(cols, function(x){ + sum(is.na(df[,x]) | df[,x]=="NA" | df[,x]=="") + }) + missing_pct <- round(missing_counts/nrow(df) * 100, 2) + df_all <- data.frame(cols, missing_counts, missing_pct) + + tag <- unlist( + strsplit( + "AB,AU,AU_CO,C1,CR,DE,DI,DT,ID,LA,NR,PY,RP,SC,SO,TC,TI,WC","," + ) + ) + description <- trimws(unlist( + strsplit( + "abstract,author,country,affiliation,cited-references,keywords,doi,type,keywords-plus,language,number-of-cited-references, + publication year,corresponding author,research-areas,journal,times-cited,title,web-of-science-categories", "," + ) + )) + + df_all <- df_all %>% + mutate(status = status(missing_pct)) %>% + replace_na(replace = list(missing_counts = nrow(df), missing_pct = 100)) + + df_tags <- data.frame(tag, description) %>% + left_join(df_all, by = c("tag" = "cols")) %>% + replace_na(replace = list(missing_counts = nrow(df), missing_pct = 100, status = "Completely missing")) %>% + arrange(missing_pct,description) + + results <- list(allTags=df_all, mandatoryTags=df_tags) + return(results) +} + +status <- function(x){ + y <- character(length(x)) + y[x==0] <- "Excellent" + y[x>0 & x<= 10] <- "Good" + y[x>10 & x<= 20] <- "Acceptable" + y[x>20 & x<100] <- "Critical" + y[is.na(x) | x==100] <- "Completely missing" + return(y) +} + diff --git a/man/missingData.Rd b/man/missingData.Rd new file mode 100644 index 00000000..e01df108 --- /dev/null +++ b/man/missingData.Rd @@ -0,0 +1,33 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/missingData.R +\name{missingData} +\alias{missingData} +\title{Completeness of bibliographic metadata} +\usage{ +missingData(df) +} +\arguments{ +\item{M}{is a bibliographic data frame obtained by \code{\link{convert2df}} function.} +} +\value{ +The function \code{missingData} returns a list containing two objects: +\tabular{lll}{ +\code{allTags} \tab \tab is a data frame including results for all original metadata tags from the collection\cr +\code{mandatoryTags}\tab \tab is a data frame that included only the tags needed for analysis with bibliometrix and biblioshiny.} +} +\description{ +It calculates the percentage of missing data in the metadata of a bibliographic data frame. +} +\details{ +Each metadata is assigned a status c("Excellent," "Good," "Acceptable," "Critical," "Completely missing") +depending on the percentage of missing data ("0%," "1% to 10%," "11% to 20%"m "21% to 99%," "100%"). + +The results of the function allow us to understand which analyses can be performed with bibliometrix +and which cannot based on the completeness (or status) of different metadata. +} +\examples{ +data(scientometrics, package = "bibliometrixData") +res <- missingData(scientometrics) +print(res$mandatoryTags) + +} From 6657870ff4e9021d0cb7bf5bc97a1fd8fe7c487c Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 12:32:14 +0100 Subject: [PATCH 25/31] missing metadata checking --- R/missingData.R | 8 ++-- inst/biblioshiny/server.R | 96 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 100 insertions(+), 4 deletions(-) diff --git a/R/missingData.R b/R/missingData.R index b2a5e538..f8ab13fa 100644 --- a/R/missingData.R +++ b/R/missingData.R @@ -24,20 +24,20 @@ missingData <- function(df) { cols <- names(df) missing_counts <- sapply(cols, function(x){ - sum(is.na(df[,x]) | df[,x]=="NA" | df[,x]=="") + sum(is.na(df[,x]) | df[,x] %in% c("NA,0000,NA","NA","")) }) missing_pct <- round(missing_counts/nrow(df) * 100, 2) df_all <- data.frame(cols, missing_counts, missing_pct) tag <- unlist( strsplit( - "AB,AU,AU_CO,C1,CR,DE,DI,DT,ID,LA,NR,PY,RP,SC,SO,TC,TI,WC","," + "AB,AU,AU_CO,C1,CR,DE,DI,DT,ID,LA,NR,PY,RP,SO,TC,TI, WC","," ) ) description <- trimws(unlist( strsplit( - "abstract,author,country,affiliation,cited-references,keywords,doi,type,keywords-plus,language,number-of-cited-references, - publication year,corresponding author,research-areas,journal,times-cited,title,web-of-science-categories", "," + "Abstract,Author,Country,Affiliation,Cited References,Keywords,DOI,Document Type,Keywords Plus,Language,Number of Cited References, + Publication Year,Corresponding Author, Journal, Total Citation, Title, Science Categories", "," ) )) diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index ca3f7457..4701e916 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -243,6 +243,7 @@ server <- function(input, output,session){ values$Histfield = "NA" values$results = list("NA") values$rest_sidebar <- TRUE + #showModal(missingModal(session)) return() } inFile <- input$file1 @@ -458,7 +459,9 @@ server <- function(input, output,session){ values$Histfield = "NA" values$results = list("NA") if (ncol(values$M)>1){values$rest_sidebar <- TRUE} + if (ncol(values$M)>1){showModal(missingModal(session))} }) + output$contents <- DT::renderDT({ DATAloading() MData = as.data.frame(apply(values$M, 2, function(x) { @@ -497,6 +500,97 @@ server <- function(input, output,session){ ) }) + ### Missing Data in Metadata ---- + output$missingDataTable <- DT::renderDT({ + values$missingdf <- df <- missingData(values$M)$mandatoryTags + + names(df) <- c("Metadata", "Description", "Missing Counts", "Missing %", "Status") + DT::datatable(df,escape = FALSE,rownames = FALSE, #extensions = c("Buttons"), + class = 'cell-border stripe', + selection = 'none', + options = list( + pageLength = nrow(df), + info = FALSE, + autoWidth = FALSE, scrollX = TRUE, + dom = 'rti', + ordering=F, + columnDefs = list( + list( + targets = ncol(df)-1, + createdCell = JS( + "function(td, cellData, rowData, row, col) {", + " if (cellData === 'Completely missing') {", + " $(td).css('background-color', '#b22222');", + " } else if (cellData === 'Critical') {", + " $(td).css('background-color', '#f08080');", + " } else if (cellData === 'Acceptable') {", + " $(td).css('background-color', '#f0e68c');", + " } else if (cellData === 'Good') {", + " $(td).css('background-color', '#90ee90');", + " } else if (cellData === 'Excellent') {", + " $(td).css('background-color', '#32cd32');", + " }", + "}") + ) + ) + ) + ) + + }) + + observeEvent(input$missingMessage,{ + + tag <- values$missingdf$description[values$missingdf$status %in% c("Critical", "Completely missing")] + + #cat("\nAnalyses that require the following information:\n",paste("- ",tag,"\n",sep=""),"cannot be performed!\n", sep="") + show_alert( + title = NULL, + #text = HTML(paste("Analyses that require the following information:
",paste("- ",tag,"
", collapse=""),"cannot be performed!",collapse="")), + text =tagList( + div( + h4(HTML(paste("Analyses that require the following information:

",paste("- ","",tag,"","
", collapse=""),"
cannot be performed!",collapse=""))), + style="text-align:left") + ), + type = "warning", + size = "s", + closeOnEsc = TRUE, + closeOnClickOutside = TRUE, + html = TRUE, + showConfirmButton = TRUE, + showCancelButton = FALSE, + btn_labels = "OK", + btn_colors = "#1d8fe1", + timer = NULL, + imageUrl = "", + animation = TRUE + ) + }) + + missingModal <- function(session) { + ns <- session$ns + modalDialog( + h3(strong(("Completeness of bibliographic metadata"))), + DT::DTOutput(ns("missingDataTable")), + # br(), + # verbatimTextOutput("missingMessage"), + size = "l", + easyClose = TRUE, + footer = tagList( + actionButton(label="Advice", inputId = "missingMessage", + icon = icon("exclamation-sign", lib = "glyphicon")), + screenshotButton(label="Save", id = "missingDataTable", + scale = 2, + file=paste("MissingDataTable-", Sys.Date(), ".png", sep="")), + modalButton("Close")), + ) + } + + # observeEvent(event_data("plotly_click"), { + # if (input$sidebarmenu=="thematicMap"){ + # showModal(plotModal(session)) + # } + # }) + ## export functions ---- output$collection.save <- downloadHandler( filename = function() { @@ -795,6 +889,7 @@ server <- function(input, output,session){ values$M <- M values$Morig = M if (ncol(values$M)>1){values$rest_sidebar <- TRUE} + if (ncol(values$M)>1){showModal(missingModal(session))} values$Histfield = "NA" values$results = list("NA") contentTable(values) @@ -813,6 +908,7 @@ server <- function(input, output,session){ values$M <- M values$Morig = M if (ncol(values$M)>1){values$rest_sidebar <- TRUE} + if (ncol(values$M)>1){showModal(missingModal(session))} values$Histfield = "NA" values$results = list("NA") } From 8398178b4df9c048a397a14daa36b7bee556b534 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 13:39:18 +0100 Subject: [PATCH 26/31] Minor fix --- R/missingData.R | 7 +- inst/biblioshiny/server.R | 252 ++++++++++++++++++++------------------ 2 files changed, 139 insertions(+), 120 deletions(-) diff --git a/R/missingData.R b/R/missingData.R index f8ab13fa..9e37600f 100644 --- a/R/missingData.R +++ b/R/missingData.R @@ -31,12 +31,12 @@ missingData <- function(df) { tag <- unlist( strsplit( - "AB,AU,AU_CO,C1,CR,DE,DI,DT,ID,LA,NR,PY,RP,SO,TC,TI, WC","," + "AB,AU,C1,CR,DE,DI,DT,ID,LA,NR,PY,RP,SO,TC,TI,WC","," ) ) description <- trimws(unlist( strsplit( - "Abstract,Author,Country,Affiliation,Cited References,Keywords,DOI,Document Type,Keywords Plus,Language,Number of Cited References, + "Abstract, Author,Affiliation,Cited References,Keywords,DOI,Document Type,Keywords Plus,Language,Number of Cited References, Publication Year,Corresponding Author, Journal, Total Citation, Title, Science Categories", "," ) )) @@ -59,7 +59,8 @@ status <- function(x){ y[x==0] <- "Excellent" y[x>0 & x<= 10] <- "Good" y[x>10 & x<= 20] <- "Acceptable" - y[x>20 & x<100] <- "Critical" + y[x>20 & x<=50] <- "Poor" + y[x>50 & x<100] <- "Critical" y[is.na(x) | x==100] <- "Completely missing" return(y) } diff --git a/inst/biblioshiny/server.R b/inst/biblioshiny/server.R index 4701e916..a736ed70 100644 --- a/inst/biblioshiny/server.R +++ b/inst/biblioshiny/server.R @@ -112,67 +112,67 @@ server <- function(input, output,session){ ### Apply Data---- output$rest_of_sidebar <- renderMenu({ if (isTRUE(values$rest_sidebar)){ - sidebarMenu( - menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), - menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, - menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, - menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), - menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), - menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, - "Authors", - menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), - "Affiliations", - menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), - "Countries", - menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, - "Documents", - menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), - "Cited References", - menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), - "Words", - menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) - ), - menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, - menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, - "Network Approach", - menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), - menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), - "Factorial Approach", - menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, - menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, - menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), - menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), - menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), - menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) - ) + sidebarMenu( + menuItem("Filters",tabName = "filters",icon = fa_i(name ="filter")), + menuItem("Overview",tabName = "overview",icon=fa_i(name = "table"),startExpanded = FALSE, + menuSubItem("Main Information",tabName="mainInfo",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Annual Scientific Production",tabName = "annualScPr",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Average Citations per Year",tabName = "averageCitPerYear",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Three-Field Plot", tabName ="threeFieldPlot",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Sources", tabName = "sources",icon = fa_i(name ="book"), startExpanded = FALSE, + menuSubItem("Most Relevant Sources", tabName = "relevantSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Most Local Cited Sources",tabName = "localCitedSources",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Bradford's Law",tabName = "bradford",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Local Impact",tabName = "sourceImpact",icon = icon("chevron-right",lib = "glyphicon")), + menuSubItem("Sources' Production over Time",tabName = "sourceDynamics",icon = icon("chevron-right",lib = "glyphicon"))), + menuItem("Authors", tabName = "authors",icon = fa_i(name="user"),startExpanded = FALSE, + "Authors", + menuSubItem("Most Relevant Authors", tabName = "mostRelAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Authors",tabName = "mostLocalCitedAuthors",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Production over Time",tabName = "authorsProdOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Lotka's Law",tabName = "lotka",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Authors' Local Impact",tabName = "authorImpact",icon = icon("chevron-right", lib = "glyphicon")), + "Affiliations", + menuSubItem("Most Relevant Affiliations",tabName = "mostRelAffiliations",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Affiliations' Production over Time",tabName = "AffOverTime",icon = icon("chevron-right", lib = "glyphicon")), + "Countries", + menuSubItem("Corresponding Author's Countries",tabName = "correspAuthorCountry",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Scientific Production",tabName = "countryScientProd",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Production over Time",tabName = "COOverTime",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Cited Countries",tabName = "mostCitedCountries",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Documents", tabName = "documents",icon = fa_i(name="layer-group"), startExpanded = FALSE, + "Documents", + menuSubItem("Most Global Cited Documents",tabName = "mostGlobalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Most Local Cited Documents",tabName = "mostLocalCitDoc",icon = icon("chevron-right", lib = "glyphicon")), + "Cited References", + menuSubItem("Most Local Cited References",tabName = "mostLocalCitRef",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("References Spectroscopy",tabName = "ReferenceSpect",icon = icon("chevron-right", lib = "glyphicon")), + "Words", + menuSubItem("Most Frequent Words",tabName = "mostFreqWords",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("WordCloud", tabName = "wcloud",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("TreeMap",tabName = "treemap",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Words' Frequency over Time",tabName = "wordDynamics",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Trend Topics",tabName = "trendTopic",icon = icon("chevron-right", lib = "glyphicon")) + ), + menuItem("Clustering", tabName = "clustering",icon = fa_i(name ="spinner"),startExpanded = FALSE, + menuSubItem("Clustering by Coupling",tabName = "coupling",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Conceptual Structure",tabName = "concepStructure",icon = fa_i(name="spell-check"),startExpanded = FALSE, + "Network Approach", + menuSubItem("Co-occurence Network",tabName = "coOccurenceNetwork",icon = icon("chevron-right", lib = "glyphicon") ), + menuSubItem("Thematic Map",tabName = "thematicMap", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Thematic Evolution",tabName = "thematicEvolution", icon = icon("chevron-right", lib = "glyphicon")), + "Factorial Approach", + menuSubItem("Factorial Analysis", tabName = "factorialAnalysis", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Intellectual Structure",tabName = "intStruct",icon = fa_i(name="gem"), startExpanded = FALSE, + menuSubItem("Co-citation Network",tabName = "coCitationNetwork", icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Historiograph",tabName = "historiograph", icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Social Structure",tabName = "socialStruct", icon = fa_i("users"),startExpanded = FALSE, + menuSubItem("Collaboration Network",tabName = "collabNetwork",icon = icon("chevron-right", lib = "glyphicon")), + menuSubItem("Countries' Collaboration World Map", tabName = "collabWorldMap",icon = icon("chevron-right", lib = "glyphicon"))), + menuItem("Report",tabName = "report",icon = fa_i(name ="list-alt")), + menuItem("Settings",tabName = "settings",icon = fa_i(name ="sliders")) + ) } else { sidebarMenu() } @@ -508,50 +508,68 @@ server <- function(input, output,session){ DT::datatable(df,escape = FALSE,rownames = FALSE, #extensions = c("Buttons"), class = 'cell-border stripe', selection = 'none', - options = list( - pageLength = nrow(df), - info = FALSE, - autoWidth = FALSE, scrollX = TRUE, - dom = 'rti', - ordering=F, - columnDefs = list( - list( - targets = ncol(df)-1, - createdCell = JS( - "function(td, cellData, rowData, row, col) {", - " if (cellData === 'Completely missing') {", - " $(td).css('background-color', '#b22222');", - " } else if (cellData === 'Critical') {", - " $(td).css('background-color', '#f08080');", - " } else if (cellData === 'Acceptable') {", - " $(td).css('background-color', '#f0e68c');", - " } else if (cellData === 'Good') {", - " $(td).css('background-color', '#90ee90');", - " } else if (cellData === 'Excellent') {", - " $(td).css('background-color', '#32cd32');", - " }", - "}") - ) - ) + options = list( + pageLength = nrow(df), + info = FALSE, + autoWidth = FALSE, scrollX = TRUE, + dom = 'rti', + ordering=F, + columnDefs = list( + list( + targets = ncol(df)-1, + createdCell = JS( + "function(td, cellData, rowData, row, col) {", + " if (cellData === 'Completely missing') {", + " $(td).css('background-color', '#b22222');", + " } else if (cellData === 'Critical') {", + " $(td).css('background-color', '#f08080');", + " } else if (cellData === 'Poor') {", + " $(td).css('background-color', 'lightgrey');", + " } else if (cellData === 'Acceptable') {", + " $(td).css('background-color', '#f0e68c');", + " } else if (cellData === 'Good') {", + " $(td).css('background-color', '#90ee90');", + " } else if (cellData === 'Excellent') {", + " $(td).css('background-color', '#32cd32');", + " }", + "}") + ) + ) + ) + ) %>% + formatRound("Missing %", digits=2) %>% + formatStyle( + "Status", + textAlign = 'center' ) - ) - + # ) %>% + # formatStyle( + # "Missing %", + # background = styleColorBar(df[,4], '#b22222') + # ) + }) observeEvent(input$missingMessage,{ - tag <- values$missingdf$description[values$missingdf$status %in% c("Critical", "Completely missing")] - - #cat("\nAnalyses that require the following information:\n",paste("- ",tag,"\n",sep=""),"cannot be performed!\n", sep="") + if (length(tag)>0){ + text <- paste("Analyses that require the following information:

",paste("- ","",tag,"","
", collapse=""), + "
cannot be performed!",collapse="") + type <- "warning" + }else{ + text <- "Your metadata have no critical issues" + type <- "success" + } + show_alert( title = NULL, #text = HTML(paste("Analyses that require the following information:
",paste("- ",tag,"
", collapse=""),"cannot be performed!",collapse="")), text =tagList( div( - h4(HTML(paste("Analyses that require the following information:

",paste("- ","",tag,"","
", collapse=""),"
cannot be performed!",collapse=""))), - style="text-align:left") + h4(HTML(text)), + style="text-align:left") ), - type = "warning", + type = type, size = "s", closeOnEsc = TRUE, closeOnClickOutside = TRUE, @@ -599,7 +617,7 @@ server <- function(input, output,session){ content <- function(file) { tr <- FALSE if ("CR" %in% names(values$M)) tr <- (sum(nchar(values$M$CR)>32767, na.rm=TRUE))>0 - + if (tr & input$save_file=="xlsx"){ show_alert( text = tags$span( @@ -626,12 +644,12 @@ server <- function(input, output,session){ ) suppressWarnings(openxlsx::write.xlsx(values$M, file=file)) } else { - switch(input$save_file, - xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, - RData={ - M=values$M - save(M, file=file) - }) + switch(input$save_file, + xlsx={suppressWarnings(openxlsx::write.xlsx(values$M, file=file))}, + RData={ + M=values$M + save(M, file=file) + }) } }, contentType = input$save_file @@ -4194,7 +4212,7 @@ server <- function(input, output,session){ }) ### click cluster networks - + plotModal <- function(session) { ns <- session$ns modalDialog( @@ -4218,16 +4236,16 @@ server <- function(input, output,session){ output$cocPlotClust <- renderVisNetwork({ values$d <- event_data("plotly_click") - coord <- values$d[c("x","y")] - color <- values$TM$clusters_orig %>% - filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% - select(.data$color) %>% as.character() - g <- values$TM$subgraphs[[color]] - igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS + coord <- values$d[c("x","y")] + color <- values$TM$clusters_orig %>% + filter(.data$rcentrality==coord$x,.data$rdensity==coord$y) %>% + select(.data$color) %>% as.character() + g <- values$TM$subgraphs[[color]] + igraph2visClust(g,curved=F,labelsize=4,opacity=0.5,shape="dot", shadow=TRUE, edgesize=5)$VIS }) ### end click cluster subgraphs - + output$NetPlot <- renderVisNetwork({ TMAP() values$networkTM<-igraph2vis(g=values$TM$net$graph,curved=(input$coc.curved=="Yes"), @@ -4317,7 +4335,7 @@ server <- function(input, output,session){ output$TMTableDocument <- DT::renderDT({ TMAP() tmDataDoc <- values$TM$documentToClusters - + DT::datatable(tmDataDoc, escape = FALSE, rownames = FALSE, extensions = c("Buttons"),filter = 'top', options = list(pageLength = 10, dom = 'Bfrtip', buttons = list('pageLength', @@ -4999,13 +5017,13 @@ server <- function(input, output,session){ #values$wb <- res$wb values$fileTFP <- screenSh(selector = "#TEPlot") ## screenshot values$list_file <- rbind(values$list_file, c(sheetname=res$sheetname,values$fileTFP,res$col)) - + ## Periods L <- length(values$nexus$TM) wb <- res$wb for (l in 1:L){ if(!is.null(values$nexus$TM[[l]]$words)){ - + list_df <- list(values$nexus$TM[[l]]$params, values$nexus$TM[[l]]$words, values$nexus$TM[[l]]$clusters, @@ -5090,7 +5108,7 @@ server <- function(input, output,session){ }) observeEvent(input$reportCOCIT,{ - + if(!is.null(values$cocitnet$cluster_res)){ names(values$cocitnet$cluster_res) <- c("Node", "Cluster", "Betweenness", "Closeness", "PageRank") sheetname <- "CoCitNet" @@ -5410,10 +5428,10 @@ server <- function(input, output,session){ values$list_file <- data.frame(sheet=NULL,file=NULL,n=NULL) values$wb <- openxlsx::createWorkbook() } - }, ignoreNULL = TRUE + }, ignoreNULL = TRUE ) - - + + # OPTIONS MENU ---- # observe({ @@ -5426,7 +5444,7 @@ server <- function(input, output,session){ # values$checkControlBar <- FALSE # } # }) - + ### screenshot buttons observeEvent(input$screenTFP,{ screenshot( From a6faf68991711197e0ada863b7e5853713815a72 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 18:29:03 +0100 Subject: [PATCH 27/31] Minor fix --- inst/biblioshiny/ui.R | 39 +++++++++++++++++++++++---------------- 1 file changed, 23 insertions(+), 16 deletions(-) diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index 1f9cfd58..b85a7d9b 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -4081,57 +4081,64 @@ body <- dashboardBody( uiOutput('reportSheets'), tags$style("#reportSheets {font-size:23px;}") ) - ), - column(3, + ),column(1), + column(2, + div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", + align = "center", + #width="100%", actionBttn( inputId = 'allSheets', label = strong('SELECT ALL'), icon = icon("ok-circle", lib="glyphicon"), - style = "unite", #float - color = "default", + style = "pill", color = "primary", + # style = "unite", #float + # color = "default", block = TRUE ), - tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), + #tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), br(), actionBttn( inputId = 'noSheets', label = strong('DESELECT ALL'), icon = icon("remove-circle", lib="glyphicon"), - style = "unite", - color = "default", + style = "pill", color = "primary", + # style = "unite", + # color = "default", block = TRUE ), - tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), + #tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), br(), actionBttn( inputId = 'deleteAll', label = strong('DELETE REPORT'), icon = icon("exclamation-sign", lib="glyphicon"), - style = "unite", - color = "danger", + style = "pill", color = "danger", + # style = "unite", + # color = "danger", block = TRUE ), - tags$style("#deleteAll {border-width: 3px;}"), + #tags$style("#deleteAll {border-width: 3px;}"), br(), downloadBttn( outputId="report.save", label = strong("SAVE REPORT"), - style = "unite", - color = "primary", + style = "pill", color = "primary", + # style = "unite", + # color = "primary", size = "md", block = TRUE, no_outline = TRUE, icon = icon(name ="download-alt", lib="glyphicon") - ), tags$style("#report.save {border-width: 3px;}") - + )#, tags$style("#report.save {border-width: 3px;}") + ) ) ) ) ), - #### Report ---- + #### Settings ---- tabItem("settings", fluidPage( fluidRow( From 9b9fd8568bbafa6a01f7f4b6d851fc93806012e2 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 22:20:03 +0100 Subject: [PATCH 28/31] Minor fix --- R/bib2df.R | 4 +++- inst/biblioshiny/ui.R | 45 +++++++++++++++++++------------------------ 2 files changed, 23 insertions(+), 26 deletions(-) diff --git a/R/bib2df.R b/R/bib2df.R index f21e5888..01e2d47d 100644 --- a/R/bib2df.R +++ b/R/bib2df.R @@ -22,8 +22,10 @@ bib2df<-function(D, dbsource = "isi"){ if (dbsource == "isi") D <- gsub(" = \\{","={",D) + D <- gsub("\\\t","",gsub(" = \\{","=\\{",D)) # to work also with new scopus bib format + D[Papers] <- paste("Paper={",D[Papers],sep="") - #ii <- regexpr("\\{",D[Papers]) + ind <- regexpr("=\\{",D) # sep among tags and contents ind[Papers] <- 6 diff --git a/inst/biblioshiny/ui.R b/inst/biblioshiny/ui.R index b85a7d9b..f7b9970d 100644 --- a/inst/biblioshiny/ui.R +++ b/inst/biblioshiny/ui.R @@ -4063,9 +4063,9 @@ body <- dashboardBody( br(), ), fluidRow( - column(7,offset = 1, + column(6,offset = 1, box(title = strong("Select results to include in the Report", - style='font-size:25px;color:white;'), + style='font-size:20px;color:white;'), status = "primary", width = 11, solidHeader = TRUE, tags$style(HTML(" .box.box-solid.box-primary>.box-header { @@ -4079,57 +4079,52 @@ body <- dashboardBody( border-width:2px; }")), uiOutput('reportSheets'), - tags$style("#reportSheets {font-size:23px;}") + tags$style("#reportSheets {font-size:18px;}") ) - ),column(1), + ),#column(1), column(2, div(style ="border-radius: 10px; border-width: 3px; font-size: 10px;", align = "center", #width="100%", actionBttn( inputId = 'allSheets', - label = strong('SELECT ALL'), + label = strong('Select All'), icon = icon("ok-circle", lib="glyphicon"), style = "pill", color = "primary", - # style = "unite", #float - # color = "default", block = TRUE ), #tags$style("#allSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), br(), actionBttn( inputId = 'noSheets', - label = strong('DESELECT ALL'), + label = strong('Deselect All'), icon = icon("remove-circle", lib="glyphicon"), style = "pill", color = "primary", - # style = "unite", - # color = "default", block = TRUE ), #tags$style("#noSheets {font-size:20px; color:#363636; background-color:white; text-align:center; border-width: 3px;}"), - br(), - actionBttn( - inputId = 'deleteAll', - label = strong('DELETE REPORT'), - icon = icon("exclamation-sign", lib="glyphicon"), - style = "pill", color = "danger", - # style = "unite", - # color = "danger", - block = TRUE - ), + #tags$style("#deleteAll {border-width: 3px;}"), br(), + hr(), downloadBttn( outputId="report.save", - label = strong("SAVE REPORT"), - style = "pill", color = "primary", - # style = "unite", - # color = "primary", + label = strong("Export Report"), + style = "pill", color = "success", size = "md", block = TRUE, no_outline = TRUE, icon = icon(name ="download-alt", lib="glyphicon") - )#, tags$style("#report.save {border-width: 3px;}") + ),#, tags$style("#report.save {border-width: 3px;}") + br(), + hr(), + actionBttn( + inputId = 'deleteAll', + label = strong('Delete Report'), + icon = icon("exclamation-sign", lib="glyphicon"), + style = "pill", color = "danger", + block = TRUE + ) ) ) From c07fd1e2a8d9723325a89d493736b2b3830761f9 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Thu, 12 Jan 2023 23:00:58 +0100 Subject: [PATCH 29/31] Replaced stringr package with stringi --- DESCRIPTION | 2 +- NAMESPACE | 4 +--- R/histNetwork.R | 4 ++-- R/histPlot.R | 19 ++++--------------- R/keywordGrowth.R | 4 ++-- R/missingData.R | 2 +- R/toUpper.R | 2 +- R/zzz.R | 7 ++++--- inst/biblioshiny/utils.R | 2 +- man/missingData.Rd | 2 +- 10 files changed, 18 insertions(+), 30 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index 91291016..c1485489 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -48,7 +48,7 @@ Imports: stats, shiny, SnowballC, stringdist, - stringr, + stringi, tidyr, tidytext Suggests: diff --git a/NAMESPACE b/NAMESPACE index f452fc41..c1f904ba 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -57,6 +57,7 @@ import(readr) import(readxl) import(shiny) import(stats) +import(stringi) import(tidytext) importFrom(DT,DTOutput) importFrom(DT,datatable) @@ -295,9 +296,6 @@ importFrom(rscopus,author_df_orig) importFrom(rscopus,author_search) importFrom(rscopus,get_complete_author_info) importFrom(stringdist,stringdistmatrix) -importFrom(stringr,str_extract_all) -importFrom(stringr,str_locate_all) -importFrom(stringr,str_replace_all) importFrom(tidyr,drop_na) importFrom(tidyr,gather) importFrom(tidyr,pivot_longer) diff --git a/R/histNetwork.R b/R/histNetwork.R index bc745e79..a48f299f 100644 --- a/R/histNetwork.R +++ b/R/histNetwork.R @@ -203,8 +203,8 @@ scopus <- function(M, min.citations, sep, network, verbose){ nCum <- c(1, cumsum(n[-length(n)])) CR <- paste(CR, collapse = " ") - L <- str_locate_all(CR, TIpost) - + #L <- str_locate_all(CR, TIpost) + L <- stringi::stri_locate_all_regex(CR,TIpost, omit_no_match = TRUE) LCS <- lengths(L) / 2 diff --git a/R/histPlot.R b/R/histPlot.R index c8675afc..4a966189 100644 --- a/R/histPlot.R +++ b/R/histPlot.R @@ -74,14 +74,14 @@ histPlot<-function(histResults, n=20, size = 5, labelsize = 5, title_as_label = switch(label, title={ - title <- strsplit(stringr::str_to_title(V(bsk.network)$title), " ") + title <- strsplit(stringi::stri_trans_totitle(V(bsk.network)$title), " ") V(bsk.network)$id <- unlist(lapply(title, function(l){ n <- floor(length(l)/2) paste0(paste(l[1:n], collapse=" ", sep=""),"\n",paste(l[(n+1):length(l)], collapse=" ", sep="")) })) }, keywords={ - kw <- strsplit(stringr::str_to_title(V(bsk.network)$keywords), ";") + kw <- strsplit(stringi::stri_trans_totitle(V(bsk.network)$keywords), ";") kw[is.na(kw)] <- "Not Available" V(bsk.network)$id <- unlist(lapply(kw, function(l){ if (length(l)>1){ @@ -92,7 +92,7 @@ histPlot<-function(histResults, n=20, size = 5, labelsize = 5, title_as_label = })) }, keywordsplus={ - kw <- strsplit(stringr::str_to_title(V(bsk.network)$keywordsplus), ";") + kw <- strsplit(stringi::stri_trans_totitle(V(bsk.network)$keywordsplus), ";") kw[is.na(kw)] <- "Not Available" V(bsk.network)$id <- unlist(lapply(kw, function(l){ if (length(l)>1){ @@ -107,24 +107,13 @@ histPlot<-function(histResults, n=20, size = 5, labelsize = 5, title_as_label = } ) - # if (isTRUE(title_as_label)){ - # title <- strsplit(stringr::str_to_title(V(bsk.network)$title), " ") - # V(bsk.network)$id <- unlist(lapply(title, function(l){ - # n <- floor(length(l)/2) - # paste0(paste(l[1:n], collapse=" ", sep=""),"\n",paste(l[(n+1):length(l)], collapse=" ", sep="")) - # })) - # #V(bsk.network)$id <- tolower(paste(substr(V(bsk.network)$title,1,50),"...",sep="")) - # } else { - # V(bsk.network)$id <- tolower(unlist(RR)) - # } - # Compute node degrees (#links) and use that to set node size: deg <- LCS V(bsk.network)$size <- size #rep(size,length(V(bsk.network)))} #Years=histResults$histData$Year[ind] - Years <- as.numeric(unlist(str_extract_all(unlist(RR),"[[:digit:]]{4}$"))) + Years <- as.numeric(unlist(stringi::stri_extract_all_regex(unlist(RR),"[[:digit:]]{4}$"))) V(bsk.network)$years <- Years # Remove loops diff --git a/R/keywordGrowth.R b/R/keywordGrowth.R index 05c3cb74..1c354a1e 100644 --- a/R/keywordGrowth.R +++ b/R/keywordGrowth.R @@ -52,8 +52,8 @@ KeywordGrowth <- function(M, Tag = "ID", sep = ";", top=10, cdf=TRUE, remove.ter A <- A %>% mutate( # Tab = str_replace_all(Tab, paste(sold[[i]], collapse="|",sep=""),snew[i]) - Tab= str_replace_all(Tab, str_replace_all(str_replace_all(paste(sold[[i]], collapse="|",sep=""),"\\(","\\\\("),"\\)","\\\\)"),snew[i]) - + #Tab= str_replace_all(Tab, str_replace_all(str_replace_all(paste(sold[[i]], collapse="|",sep=""),"\\(","\\\\("),"\\)","\\\\)"),snew[i]), + Tab= stringi::stri_replace_all_regex(Tab, stringi::stri_replace_all_regex(stringi::stri_replace_all_regex(paste(sold[[i]], collapse="|",sep=""),"\\(","\\\\("),"\\)","\\\\)"),snew[i]) ) } } diff --git a/R/missingData.R b/R/missingData.R index 9e37600f..63e8a1da 100644 --- a/R/missingData.R +++ b/R/missingData.R @@ -7,7 +7,7 @@ #' #' The results of the function allow us to understand which analyses can be performed with bibliometrix #' and which cannot based on the completeness (or status) of different metadata. -#' @param M is a bibliographic data frame obtained by \code{\link{convert2df}} function. +#' @param df is a bibliographic data frame obtained by \code{\link{convert2df}} function. #' #' @return The function \code{missingData} returns a list containing two objects: #' \tabular{lll}{ diff --git a/R/toUpper.R b/R/toUpper.R index 5c9e91b1..6c96564c 100644 --- a/R/toUpper.R +++ b/R/toUpper.R @@ -1,3 +1,3 @@ toUpper <- function(D){ - stringr::str_to_upper(D, locale = "en") + stringi::stri_trans_toupper(D, locale = "en") } \ No newline at end of file diff --git a/R/zzz.R b/R/zzz.R index 76d4dcca..b1c881fb 100644 --- a/R/zzz.R +++ b/R/zzz.R @@ -13,6 +13,7 @@ #' @import shiny #' @import readr #' @import readxl +#' @import stringi #' @import tidytext #' @importFrom dplyr %>% #' @importFrom dplyr across @@ -255,9 +256,9 @@ #' @importFrom Matrix updown #' @importFrom Matrix which #' @importFrom Matrix writeMM -#' @importFrom stringr str_locate_all -#' @importFrom stringr str_extract_all -#' @importFrom stringr str_replace_all +# #' @importFrom stringr str_locate_all +# #' @importFrom stringr str_extract_all +# #' @importFrom stringr str_replace_all #' @importFrom graphics barplot #' @importFrom graphics legend #' @importFrom graphics lines diff --git a/inst/biblioshiny/utils.R b/inst/biblioshiny/utils.R index b3e5ec6b..85f235c4 100644 --- a/inst/biblioshiny/utils.R +++ b/inst/biblioshiny/utils.R @@ -1330,7 +1330,7 @@ hist2vis<-function(net, labelsize = 2, nodesize= 2, curved=FALSE, shape="dot", o vn$nodes <- vn$nodes %>% left_join(text_data, by = "id") ## split node tooltips into two strings - title <- strsplit(stringr::str_to_title(vn$nodes$title), " ") + title <- strsplit(stringi::stri_trans_totitle(vn$nodes$title), " ") vn$nodes$title <- unlist(lapply(title, function(l){ n <- floor(length(l)/2) diff --git a/man/missingData.Rd b/man/missingData.Rd index e01df108..3e50e34f 100644 --- a/man/missingData.Rd +++ b/man/missingData.Rd @@ -7,7 +7,7 @@ missingData(df) } \arguments{ -\item{M}{is a bibliographic data frame obtained by \code{\link{convert2df}} function.} +\item{df}{is a bibliographic data frame obtained by \code{\link{convert2df}} function.} } \value{ The function \code{missingData} returns a list containing two objects: From 68136e1705b22fd6cb38a05365b38c6150d5de78 Mon Sep 17 00:00:00 2001 From: massimoaria Date: Fri, 13 Jan 2023 11:42:38 +0100 Subject: [PATCH 30/31] Updated README bibliometrix 4.1.0 --- DESCRIPTION | 2 +- NEWS | 14 ++ R/missingData.R | 20 +-- R/rpys.R | 2 +- README.Rmd | 56 ++++++-- README.md | 121 ++++++++++++++---- man/figures/README-Co-Word Analysis-1.png | Bin 820671 -> 822180 bytes man/figures/README-Co-Word Analysis-2.png | Bin 680114 -> 680239 bytes man/figures/README-Co-citation network-1.png | Bin 1333334 -> 1225544 bytes ...EADME-Historical Co-citation network-1.png | Bin 580894 -> 583219 bytes .../README-Keyword c-occurrences-1.png | Bin 1316161 -> 1410783 bytes .../README-plot generic function-3.png | Bin 188664 -> 188330 bytes .../README-plot generic function-4.png | Bin 262060 -> 241795 bytes .../README-plot generic function-5.png | Bin 268423 -> 269227 bytes man/missingData.Rd | 10 +- 15 files changed, 176 insertions(+), 49 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index c1485489..d12ba5c7 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: bibliometrix Type: Package Title: Comprehensive Science Mapping Analysis -Version: 4.0.2 +Version: 4.1 Authors@R: c( person(given = "Massimo", family = "Aria", diff --git a/NEWS b/NEWS index f372e1b5..52f50eb8 100644 --- a/NEWS +++ b/NEWS @@ -1,3 +1,17 @@ +bibliometrix v4.0.1 (Release date: 2023-01-13) + +Features: +* Added a new function missingData() to check the completeness of metadata included in a bibliographic data frame +* Biblioshiny: Added the ability to create an excel report by adding step by step results of different analysis +* Biblioshiny: Added a popup that returns the results of the metadata completeness check of imported collections +* Biblioshiny: Revamped interface with floating options menu and more space for graphical analysis results + +Changes: +* Several bug fixes +* Computational speed improvements + + + bibliometrix v4.0.1 (Release date: 2022-09-16) Features: diff --git a/R/missingData.R b/R/missingData.R index 63e8a1da..501aed62 100644 --- a/R/missingData.R +++ b/R/missingData.R @@ -2,12 +2,14 @@ #' #' It calculates the percentage of missing data in the metadata of a bibliographic data frame. #' -#' Each metadata is assigned a status c("Excellent," "Good," "Acceptable," "Critical," "Completely missing") -#' depending on the percentage of missing data ("0%," "1% to 10%," "11% to 20%"m "21% to 99%," "100%"). +#' Each metadata is assigned a status c("Excellent," "Good," "Acceptable", "Poor", "Critical," "Completely missing") +#' depending on the percentage of missing data. In particular, the column *status* classifies the percentage of missing +#' value in 5 categories: "Excellent" (0%), "Good" (0.01% to 10.00%), "Acceptable" (from 10.01% to 20.00%), +#' "Poor" (from 20.01% to 50.00%), "Critical" (from 50.01% to 99.99%), "Completely missing" (100%). #' #' The results of the function allow us to understand which analyses can be performed with bibliometrix #' and which cannot based on the completeness (or status) of different metadata. -#' @param df is a bibliographic data frame obtained by \code{\link{convert2df}} function. +#' @param M is a bibliographic data frame obtained by \code{\link{convert2df}} function. #' #' @return The function \code{missingData} returns a list containing two objects: #' \tabular{lll}{ @@ -21,12 +23,12 @@ #' #' @export #' -missingData <- function(df) { - cols <- names(df) +missingData <- function(M) { + cols <- names(M) missing_counts <- sapply(cols, function(x){ - sum(is.na(df[,x]) | df[,x] %in% c("NA,0000,NA","NA","")) + sum(is.na(M[,x]) | M[,x] %in% c("NA,0000,NA","NA","")) }) - missing_pct <- round(missing_counts/nrow(df) * 100, 2) + missing_pct <- round(missing_counts/nrow(M) * 100, 2) df_all <- data.frame(cols, missing_counts, missing_pct) tag <- unlist( @@ -43,11 +45,11 @@ missingData <- function(df) { df_all <- df_all %>% mutate(status = status(missing_pct)) %>% - replace_na(replace = list(missing_counts = nrow(df), missing_pct = 100)) + replace_na(replace = list(missing_counts = nrow(M), missing_pct = 100)) df_tags <- data.frame(tag, description) %>% left_join(df_all, by = c("tag" = "cols")) %>% - replace_na(replace = list(missing_counts = nrow(df), missing_pct = 100, status = "Completely missing")) %>% + replace_na(replace = list(missing_counts = nrow(M), missing_pct = 100, status = "Completely missing")) %>% arrange(missing_pct,description) results <- list(allTags=df_all, mandatoryTags=df_tags) diff --git a/R/rpys.R b/R/rpys.R index e4cd3a87..3c941f69 100644 --- a/R/rpys.R +++ b/R/rpys.R @@ -109,7 +109,7 @@ y <- c(min(c(RPYS$Citations,RPYS$diffMedian)),min(c(RPYS$Citations,RPYS$diffMedi g=ggplot(RPYS, aes(x=.data$Year ,y=.data$Citations,text=paste("Year: ",.data$Year,"\nN. of References: ",.data$Citations)))+ geom_line(aes(group="NA")) + - geom_area(aes(group="NA"),fill = 'grey90', alpha = .5) + + #geom_area(aes(group="NA"),fill = 'grey90', alpha = .5) + #geom_hline(aes(yintercept=0, color = 'grey'))+ geom_line(aes(x=.data$Year,y=.data$diffMedian, color="firebrick", group="NA"))+ labs(x = 'Year' diff --git a/README.Rmd b/README.Rmd index 9bc7630c..e23a52bd 100644 --- a/README.Rmd +++ b/README.Rmd @@ -82,7 +82,7 @@ It supports scholars in easy use of the main features of bibliometrix: ### How to use biblioshiny -Please follow the biblioshiny tutorial at www.bibliometrix.org/biblioshiny +Please follow the biblioshiny tutorial at the section tutorial of bibliometrix website https://www.bibliometrix.org/ ## How to cite bibliometrix @@ -102,10 +102,12 @@ CRAN page: https://cran.r-project.org/package=bibliometrix GitHub repository: https://github.com/massimoaria/bibliometrix -Tutorial: https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html +Tutorials -Slides: https://www.slideshare.net/MassimoAria/bibliometrix-phd-seminar +How to use: https://www.bibliometrix.org/vignettes/Introduction_to_bibliometrix.html +Data importing +and converting: https://www.bibliometrix.org/vignettes/Data-Importing-and-Converting.html @@ -123,8 +125,8 @@ Developers version from GitHub ```{r eval=FALSE, include=FALSE} -install.packages("devtools") -devtools::install_github("massimoaria/bibliometrix") +install.packages("remotes") +remotes::install_github("massimoaria/bibliometrix") ``` Load `bibliometrix` @@ -163,6 +165,25 @@ Each manuscript contains several elements, such as authors' names, title, keywor Data frame columns are named using the standard Clarivate Analytics WoS Field Tag codify [(https://www.bibliometrix.org/documents/Field_Tags_bibliometrix.pdf)](https://www.bibliometrix.org/documents/Field_Tags_bibliometrix.pdf). +## Check completeness of metadata included in the bibliographic data frame + +After importing a bibliographic data frame, we can check the completeness of the metadata included in it through **missingData()**. + +**missingData**(*M*) + +The argument *M* is a bibliographic data frame obtained by **convert2df** function. + +```{r Completeness of metadata} +## An example from bibliometrix vignettes + +com <- missingData(M) + +com$mandatoryTags +``` + +**missingData** returns a list containing two data frame. The first one, *allTags* includes the results for all metadata in M. The latter, *mandatoryTags*, reports the results only for the metadata needed to perform analyses with bibliometrix or biblioshiny. + +The column *status* classifies the percentage of missing value in 5 categories: "Excellent" (0%), "Good" (0.01% to 10.00%), "Acceptable" (from 10.01% to 20.00%), "Poor" (from 20.01% to 50.00%), "Critical" (from 50.01% to 99.99%), "Completely missing" (100%). ## Bibliometric Analysis @@ -331,16 +352,29 @@ net <- histPlot(histResults, n=20, size = FALSE,label="short") ## Main Authors' references (about bibliometrics) -Aria, M. & Cuccurullo, C. (2017). *bibliometrix*: An R-tool for comprehensive science mapping - analysis, *Journal of Informetrics*, 11(4), pp 959-975, Elsevier, DOI: 10.1016/j.joi.2017.08.007 (https://doi.org/10.1016/j.joi.2017.08.007). -Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, *Scientometrics*, DOI: 10.1007/s11192-016-1948-8 (https://doi.org/10.1007/s11192-016-1948-8). +Aria, M. & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis, *Journal of Informetrics*, 11(4), pp 959-975, Elsevier, DOI: 10.1016/j.joi.2017.08.007 (https://doi.org/10.1016/j.joi.2017.08.007) + +Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. (2022). Thematic Analysis as a New Culturomic Tool: The Social Media Coverage on COVID-19 Pandemic in Italy. *Sustainability*, 14(6), 3643, (https://doi.org/10.3390/su14063643) + +Belfiore, A., Salatino, A., & Osborne, F. (2022). Characterising Research Areas in the field of AI. *arXiv preprint arXiv:2205.13471*.(https://doi.org/10.48550/arXiv.2205.13471) + +Belfiore, A., Cuccurullo, C., & Aria, M. (2022). IoT in healthcare: A scientometric analysis. *Technological Forecasting and Social Change*, 184, 122001. (https://doi.org/10.1016/j.techfore.2022.122001) + +D'Aniello, L., Spano, M., Cuccurullo, C., & Aria, M. (2022). Academic Health Centers’ configurations, scientific productivity, and impact: insights from the Italian setting. *Health Policy*. (https://doi.org/10.1016/j.healthpol.2022.09.007) + +Aria M., Misuraca M., Spano M. (2020) Mapping the evolution of social research and data science on 30 years of Social Indicators Research, *Social Indicators Research*. (DOI: https://doi.org/10.1007/s11205-020-02281-3) + +Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021) The scholar’s best friend: research trends in dog cognitive and behavioural studies, A*nimal Cognition*. (https://doi.org/10.1007/s10071-020-01448-2) + +Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, *Scientometrics*, DOI: 10.1007/s11192-016-1948-8 (https://doi.org/10.1007/s11192-016-1948-8) + +Cuccurullo, C., Aria, M., & Sarto, F. (2015). Twenty years of research on performance management in business and public administration domains. Presentation at the *Correspondence Analysis and Related Methods conference (CARME 2015)* in September 2015 (https://www.bibliometrix.org/documents/2015Carme_cuccurulloetal.pdf) +Sarto, F., Cuccurullo, C., & Aria, M. (2014). Exploring healthcare governance literature: systematic review and paths for future research. *Mecosan* (https://www.francoangeli.it/Riviste/Scheda_Rivista.aspx?IDarticolo=52780&lingua=en) -Cuccurullo, C., Aria, M., & Sarto, F. (2015). Twenty years of research on performance management in business and public administration domains. Presentation at the *Correspondence Analysis and Related Methods conference (CARME 2015)* in September 2015 (https://www.bibliometrix.org/documents/2015Carme_cuccurulloetal.pdf). +Cuccurullo, C., Aria, M., & Sarto, F. (2013). Twenty years of research on performance management in business and public administration domains. In *Academy of Management Proceedings* (Vol. 2013, No. 1, p. 14270). Academy of Management (https://doi.org/10.5465/AMBPP.2013.14270abstract) -Sarto, F., Cuccurullo, C., & Aria, M. (2014). Exploring healthcare governance literature: systematic review and paths for future research. *Mecosan* (https://www.francoangeli.it/Riviste/Scheda_Rivista.aspx?IDarticolo=52780&lingua=en). -Cuccurullo, C., Aria, M., & Sarto, F. (2013). Twenty years of research on performance management in business and public administration domains. In *Academy of Management Proceedings* (Vol. 2013, No. 1, p. 14270). Academy of Management (https://doi.org/10.5465/AMBPP.2013.14270abstract). diff --git a/README.md b/README.md index 191acbcb..442c828d 100644 --- a/README.md +++ b/README.md @@ -81,8 +81,8 @@ It supports scholars in easy use of the main features of bibliometrix: ### How to use biblioshiny -Please follow the biblioshiny tutorial at -www.bibliometrix.org/biblioshiny +Please follow the biblioshiny tutorial at the section tutorial of +bibliometrix website ## How to cite bibliometrix @@ -102,11 +102,13 @@ CRAN page: GitHub repository: -Tutorial: +Tutorials + +How to use: -Slides: - +Data importing and converting: + ## Installation @@ -179,6 +181,51 @@ Data frame columns are named using the standard Clarivate Analytics WoS Field Tag codify [(https://www.bibliometrix.org/documents/Field_Tags_bibliometrix.pdf)](https://www.bibliometrix.org/documents/Field_Tags_bibliometrix.pdf). +## Check completeness of metadata included in the bibliographic data frame + +After importing a bibliographic data frame, we can check the +completeness of the metadata included in it through **missingData()**. + +**missingData**(*M*) + +The argument *M* is a bibliographic data frame obtained by +**convert2df** function. + +``` r +## An example from bibliometrix vignettes + +com <- missingData(M) + +com$mandatoryTags +#> tag description missing_counts missing_pct status +#> 1 AU Author 0 0.00 Excellent +#> 2 DT Document Type 0 0.00 Excellent +#> 3 SO Journal 0 0.00 Excellent +#> 4 LA Language 0 0.00 Excellent +#> 5 NR Number of Cited References 0 0.00 Excellent +#> 6 WC Science Categories 0 0.00 Excellent +#> 7 TI Title 0 0.00 Excellent +#> 8 TC Total Citation 0 0.00 Excellent +#> 9 CR Cited References 2 0.22 Good +#> 10 AB Abstract 7 0.78 Good +#> 11 PY Publication Year 9 1.00 Good +#> 12 RP Corresponding Author 10 1.11 Good +#> 13 C1 Affiliation 21 2.34 Good +#> 14 DI DOI 36 4.01 Good +#> 15 DE Keywords 79 8.80 Good +#> 16 ID Keywords Plus 97 10.80 Acceptable +``` + +**missingData** returns a list containing two data frame. The first one, +*allTags* includes the results for all metadata in M. The latter, +*mandatoryTags*, reports the results only for the metadata needed to +perform analyses with bibliometrix or biblioshiny. + +The column *status* classifies the percentage of missing value in 5 +categories: “Excellent” (0%), “Good” (0.01% to 10.00%), “Acceptable” +(from 10.01% to 20.00%), “Poor” (from 20.01% to 50.00%), “Critical” +(from 50.01% to 99.99%), “Completely missing” (100%). + ## Bibliometric Analysis The first step is to perform a descriptive analysis of the bibliographic @@ -216,9 +263,9 @@ S <- summary(object = results, k = 10, pause = FALSE) #> Sources (Journals, Books, etc) 281 #> Documents 898 #> Annual Growth Rate % 0 -#> Document Average Age 7.19 +#> Document Average Age 8.19 #> Average citations per doc 37.12 -#> Average citations per year per doc 4.609 +#> Average citations per year per doc 3.926 #> References 43935 #> #> DOCUMENT TYPES @@ -303,16 +350,16 @@ S <- summary(object = results, k = 10, pause = FALSE) #> Top manuscripts per citations #> #> Paper DOI TC TCperYear NTC -#> 1 CHEN HC, 2012, MIS QUART NA 2161 196.45 15.64 -#> 2 ZUPIC I, 2015, ORGAN RES METHODS 10.1177/1094428114562629 844 105.50 17.17 -#> 3 RAMOS-RODRIGUEZ AR, 2004, STRATEGIC MANAGE J 10.1002/smj.397 667 35.11 3.76 -#> 4 VOLBERDA HW, 2010, ORGAN SCI 10.1287/orsc.1090.0503 626 48.15 9.82 -#> 5 DAIM TU, 2006, TECHNOL FORECAST SOC 10.1016/j.techfore.2006.04.004 569 33.47 5.67 -#> 6 KOSTOFF RN, 2001, IEEE T ENG MANAGE 10.1109/17.922473 387 17.59 2.66 -#> 7 NERUR SP, 2008, STRATEG MANAGE J 10.1002/smj.659 353 23.53 3.48 -#> 8 MELIN G, 2000, RES POLICY 10.1016/S0048-7333(99)00031-1 336 14.61 2.15 -#> 9 MOED HF, 1985, RES POLICY 10.1016/0048-7333(85)90012-5 310 8.16 1.81 -#> 10 MURRAY F, 2002, RES POLICY 10.1016/S0048-7333(02)00070-7 301 14.33 2.40 +#> 1 CHEN HC, 2012, MIS QUART NA 2161 180.08 15.64 +#> 2 ZUPIC I, 2015, ORGAN RES METHODS 10.1177/1094428114562629 844 93.78 17.17 +#> 3 RAMOS-RODRIGUEZ AR, 2004, STRATEGIC MANAGE J 10.1002/smj.397 667 33.35 3.76 +#> 4 VOLBERDA HW, 2010, ORGAN SCI 10.1287/orsc.1090.0503 626 44.71 9.82 +#> 5 DAIM TU, 2006, TECHNOL FORECAST SOC 10.1016/j.techfore.2006.04.004 569 31.61 5.67 +#> 6 KOSTOFF RN, 2001, IEEE T ENG MANAGE 10.1109/17.922473 387 16.83 2.66 +#> 7 NERUR SP, 2008, STRATEG MANAGE J 10.1002/smj.659 353 22.06 3.48 +#> 8 MELIN G, 2000, RES POLICY 10.1016/S0048-7333(99)00031-1 336 14.00 2.15 +#> 9 MOED HF, 1985, RES POLICY 10.1016/0048-7333(85)90012-5 310 7.95 1.81 +#> 10 MURRAY F, 2002, RES POLICY 10.1016/S0048-7333(02)00070-7 301 13.68 2.40 #> #> #> Corresponding Author's Countries @@ -630,29 +677,57 @@ net <- histPlot(histResults, n=20, size = FALSE,label="short") ## Main Authors’ references (about bibliometrics) -Aria, M. & Cuccurullo, C. (2017). *bibliometrix*: An R-tool for +Aria, M. & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis, *Journal of Informetrics*, 11(4), pp 959-975, Elsevier, DOI: 10.1016/j.joi.2017.08.007 -(). +() + +Aria, M., Cuccurullo, C., D’Aniello, L., Misuraca, M., & Spano, M. +(2022). Thematic Analysis as a New Culturomic Tool: The Social Media +Coverage on COVID-19 Pandemic in Italy. *Sustainability*, 14(6), 3643, +() + +Belfiore, A., Salatino, A., & Osborne, F. (2022). Characterising +Research Areas in the field of AI. *arXiv preprint +arXiv:2205.13471*.() + +Belfiore, A., Cuccurullo, C., & Aria, M. (2022). IoT in healthcare: A +scientometric analysis. *Technological Forecasting and Social Change*, +184, 122001. () + +D’Aniello, L., Spano, M., Cuccurullo, C., & Aria, M. (2022). Academic +Health Centers’ configurations, scientific productivity, and impact: +insights from the Italian setting. *Health Policy*. +() + +Aria M., Misuraca M., Spano M. (2020) Mapping the evolution of social +research and data science on 30 years of Social Indicators Research, +*Social Indicators Research*. (DOI: +) + +Aria M., Alterisio A., Scandurra A, Pinelli C., D’Aniello B, (2021) The +scholar’s best friend: research trends in dog cognitive and behavioural +studies, A*nimal Cognition*. +() Cuccurullo, C., Aria, M., & Sarto, F. (2016). Foundations and trends in performance management. A twenty-five years bibliometric analysis in business and public administration domains, *Scientometrics*, DOI: -10.1007/s11192-016-1948-8 (). +10.1007/s11192-016-1948-8 () Cuccurullo, C., Aria, M., & Sarto, F. (2015). Twenty years of research on performance management in business and public administration domains. Presentation at the *Correspondence Analysis and Related Methods conference (CARME 2015)* in September 2015 -(). +() Sarto, F., Cuccurullo, C., & Aria, M. (2014). Exploring healthcare governance literature: systematic review and paths for future research. *Mecosan* -(). +() Cuccurullo, C., Aria, M., & Sarto, F. (2013). Twenty years of research on performance management in business and public administration domains. In *Academy of Management Proceedings* (Vol. 2013, No. 1, p. 14270). 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