DESCRIPTION

Package: ggquickeda
Title: Quickly Explore Your Data Using 'ggplot2' and 'table1' Summary Tables
Version: 0.3.0.9999
Authors@R: c(
    person("Samer", "Mouksassi", email = "samermouksassi@gmail.com",
      role = c("aut", "cre"),comment = c(ORCID = "https://orcid.org/0000-0002-7152-6654")),
    person("Dean", "Attali", email = "daattali@gmail.com",
      role = c("aut")),
    person("Benjamin", "Rich", email = "mail@benjaminrich.net",
      role = c("aut"), comment = "provided summary stats tables tab code"), 
    person("Michael", "Sachs", email = "sachsmc@gmail.com",
      role = c("aut"), comment = "provided ggkm code"),
    person("James", "Craig", email = "james.craig@certara.com",
      role = c("aut"), comment = "implemented bookmarking and created pkgdown website")
    )
Description: Quickly and easily perform exploratory data analysis by uploading your
     data as a 'csv' file. Start generating insights using 'ggplot2' plots and
     'table1' tables with descriptive stats, all using an easy-to-use point and click 
     'Shiny' interface.
URL: https://github.com/smouksassi/ggquickeda
BugReports: https://github.com/smouksassi/ggquickeda/issues
Depends:
    R (>= 3.6.0)
Imports:
    colourpicker,
    dplyr,
    DT,
    Formula,
    GGally (>= 2.1.0),
    ggbeeswarm,
    ggplot2 (>= 3.3.4),
    ggpmisc,
    ggrepel (>= 0.7.0),
    ggpubr,
    gridExtra,
    Hmisc,
    markdown,
    methods,
    plotly,
    quantreg,
    rlang,
    scales,
    shiny (>= 1.0.4),
    shinyjs (>= 1.1),
    shinyjqui,
    stringr,
    survival,
    survminer,
    tidyr,
    table1 (>= 1.4.2),
    zoo,
    shinyFiles,
    RPostgres
Suggests:
    knitr,
    rmarkdown
License: MIT + file LICENSE
SystemRequirements: pandoc with https support
LazyData: true
VignetteBuilder: knitr
RoxygenNote: 7.2.2