From 6abc5874b813436bbffc5b6c085e016cd017ab0a Mon Sep 17 00:00:00 2001 From: TuomasBorman Date: Fri, 1 Nov 2024 08:27:36 +0000 Subject: [PATCH] =?UTF-8?q?Deploying=20to=20gh-pages=20from=20@=20microbio?= =?UTF-8?q?me/miaViz@6a141d48427e7b3daff737ad0bf6afb2a7123027=20?= =?UTF-8?q?=F0=9F=9A=80?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- articles/miaViz.html | 30 ++-- .../figure-html/unnamed-chunk-4-1.png | Bin 137699 -> 137700 bytes .../figure-html/unnamed-chunk-5-1.png | Bin 134011 -> 134013 bytes .../figure-html/unnamed-chunk-7-1.png | Bin 356263 -> 356238 bytes .../figure-html/unnamed-chunk-8-1.png | Bin 425681 -> 436878 bytes pkgdown.yml | 2 +- reference/plotAbundance-1.png | Bin 297663 -> 297667 bytes reference/plotAbundance-2.png | Bin 552998 -> 552979 bytes reference/plotAbundance-3.png | Bin 159004 -> 159018 bytes reference/plotAbundance-5.png | Bin 566904 -> 638287 bytes reference/plotAbundance-6.png | Bin 723358 -> 787056 bytes reference/plotAbundance.html | 147 +++++++----------- 12 files changed, 75 insertions(+), 104 deletions(-) diff --git a/articles/miaViz.html b/articles/miaViz.html index e36af86d..d62552ce 100644 --- a/articles/miaViz.html +++ b/articles/miaViz.html @@ -129,7 +129,9 @@

Abundance plotting
 plotAbundance(GlobalPatterns[rowData(GlobalPatterns)$Phylum %in% prev_phylum],
               rank = "Phylum",
-              assay.type = "relabundance")
+ assay.type = "relabundance") +#> Warning: Removed 101 rows containing missing values or values outside the scale range +#> (`geom_bar()`).

The features argument is reused for plotting data along the different samples. In the next example the SampleType is @@ -142,7 +144,9 @@

Abundance plotting= "Phylum", assay.type = "relabundance") plots$abundance / plots$SampleType + - plot_layout(heights = c(9, 1)) + plot_layout(heights = c(9, 1)) +#> Warning: Removed 101 rows containing missing values or values outside the scale range +#> (`geom_bar()`).

Further example about composition barplot can be found at Orchestrating Microbiome Analysis (Lahti, Shetty, @@ -493,15 +497,15 @@

Session info#> other attached packages: #> [1] patchwork_1.3.0 scater_1.34.0 #> [3] scuttle_1.16.0 miaViz_1.15.1 -#> [5] ggraph_2.2.1 ggplot2_3.5.1 -#> [7] mia_1.14.0 MultiAssayExperiment_1.32.0 -#> [9] TreeSummarizedExperiment_2.14.0 Biostrings_2.74.0 -#> [11] XVector_0.46.0 SingleCellExperiment_1.28.0 -#> [13] SummarizedExperiment_1.36.0 Biobase_2.66.0 -#> [15] GenomicRanges_1.58.0 GenomeInfoDb_1.42.0 -#> [17] IRanges_2.40.0 S4Vectors_0.44.0 -#> [19] BiocGenerics_0.52.0 MatrixGenerics_1.18.0 -#> [21] matrixStats_1.4.1 BiocStyle_2.34.0 +#> [5] mia_1.14.0 TreeSummarizedExperiment_2.14.0 +#> [7] Biostrings_2.74.0 XVector_0.46.0 +#> [9] SingleCellExperiment_1.28.0 MultiAssayExperiment_1.32.0 +#> [11] SummarizedExperiment_1.36.0 Biobase_2.66.0 +#> [13] GenomicRanges_1.58.0 GenomeInfoDb_1.42.0 +#> [15] IRanges_2.40.0 S4Vectors_0.44.0 +#> [17] BiocGenerics_0.52.0 MatrixGenerics_1.18.0 +#> [19] matrixStats_1.4.1 ggraph_2.2.1 +#> [21] ggplot2_3.5.1 BiocStyle_2.34.0 #> #> loaded via a namespace (and not attached): #> [1] splines_4.4.1 ggplotify_0.1.2 @@ -518,8 +522,8 @@

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    # S4 method for class 'SummarizedExperiment' plotAbundance( x, - col.var = features, - features = NULL, - order.row.by = order_rank_by, - order_rank_by = c("name", "abund", "revabund"), - order.col.by = order_sample_by, - order_sample_by = NULL, - decreasing = TRUE, - layout = c("bar", "point"), - one.facet = one_facet, - one_facet = TRUE, - ncol = 2, - scales = "fixed", assay.type = assay_name, assay_name = "counts", + layout = "bar", ... ) @@ -85,82 +74,46 @@

    Arguments

    ...
    -

    additional parameters for plotting.

    • group Character scalar. Specifies the group for +

      additional parameters for plotting.

      • group: Character scalar. Specifies the group for agglomeration. Must be a value from colnames(rowData(x)). If NULL, agglomeration is not applied. (Default: NULL)

      • -
      • as.relative Character scalar. Should the relative +

      • as.relative: Character scalar. Should the relative values be calculated? (Default: FALSE)

      • -

      See mia-plot-args for more details i.e. call -help("mia-plot-args")

      - - -
      col.var
      -

      Character scalar. Selects a column from +

    • col.var: Character scalar. Selects a column from colData to be plotted below the abundance plot. Continuous numeric values will be plotted as point, whereas factors and -character will be plotted as colour-code bar. (Default: NULL)

    • - - -
      features
      -

      Deprecated. Use col.var instead.

      - - -
      order.row.by
      -

      Character scalar. How to order abundance value: -By name ("name") -for sorting the taxonomic labels alphabetically, by abundance -("abund") to sort by abundance values or by a reverse order of -abundance values ("revabund"). (Default: "name")

      - - -
      order_rank_by
      -

      Deprecated. Use order.row.by instead.

      - - -
      order.col.by
      -

      Character scalar. from the chosen rank of -abundance data or from colData to select values to order the abundance -plot by. (Default: NULL)

      - - -
      order_sample_by
      -

      Deprecated. Use order.col.by instead.

      - - -
      decreasing
      -

      Logical scalar. If the order.col.by -is defined and the -values are numeric, should the values used to order in decreasing or -increasing fashion? (Default: FALSE)

      - - -
      layout
      -

      Character scalar. Either “bar” or “point”.

      - - -
      one.facet
      -

      Logical scalar. Should the plot be returned in on -facet or split into -different facet, one facet per different value detect in group. If -col.var or order.col.by is not NULL, this setting will -be disregarded. (Default: TRUE)

      - - -
      one_facet
      -

      Deprecated. Use one.facet instead.

      - - -
      ncol
      -

      Numeric scalar. if one.facet = FALSE, -ncol defines many -columns should be for plotting the different facets. (Default: 2)

      - - -
      scales
      -

      Character scalar. Defines the behavior of the scales -of each facet. Both values are -passed onto facet_wrap. -(Default: "fixed")

      +character will be plotted as colour-code bar. (Default: NULL)

    • +
    • order.row.by: Character scalar. How to order abundance +value. By name ("name") for sorting the taxonomic labels +alphabetically, by abundance ("abund") to sort by abundance +values or by a reverse order of +abundance values ("revabund"). (Default: "name")

    • +
    • row.levels: Character vector. Specifies order of rows +in a plot. Can be combined with order.row.by to control order +of only certain rows. If NULL, the order follows +order.row.by. (Default: NULL)

    • +
    • order.col.by: Character scalar. from the chosen rank of +abundance data or from colData to select values to order the +abundance plot by. (Default: NULL)

    • +
    • col.levels: Character vector. Specifies order of +columns in a plot. Can be combined with order.col.by to control +order of only certain columns. If NULL, the order follows +order.col.by. (Default: NULL)

    • +
    • decreasing: Logical scalar. If the order.col.by +is defined and the values are numeric, should the values used to order in +decreasing or increasing fashion? (Default: FALSE)

    • +
    • facet.rows: Logical scalar. Should the rows in the +plot be spitted into facets? (Default: FALSE)

    • +
    • facet.cols: Logical scalar. Should the columns in the +plot be spitted into facets? (Default: FALSE)

    • +
    • ncol: Numeric scalar. if facets are applied, +ncol defines many columns should be for plotting the different +facets. (Default: 2)

    • +
    • scales Character scalar. Defines the behavior of the +scales of each facet. The value is passed into +facet_wrap. (Default: "fixed")

    • +

    See mia-plot-args for more details i.e. call +help("mia-plot-args")

    assay.type
    @@ -171,6 +124,10 @@

    Arguments

    assay_name

    Deprecate. Use assay.type instead.

    + +
    layout
    +

    Character scalar. Either “bar” or “point”.

    +

    Value

    @@ -202,18 +159,24 @@

    Examples

    # Apply relative transformation tse_sub <- transformAssay(tse_sub, method = "relabundance") plotAbundance(tse_sub, assay.type = "relabundance") +#> Warning: Removed 411 rows containing missing values or values outside the scale range +#> (`geom_bar()`). # Plotting counts using the first taxonomic rank as default plotAbundance( tse, assay.type="counts", group = "Phylum") + labs(y="Counts") +#> Warning: Removed 728 rows containing missing values or values outside the scale range +#> (`geom_bar()`). # Using "Phylum" as rank. Apply relative transformation to "counts" assay. plotAbundance( tse, assay.type="counts", group = "Phylum", add_legend = FALSE, as.relative = TRUE) +#> Warning: Removed 728 rows containing missing values or values outside the scale range +#> (`geom_bar()`). # Apply relative transform @@ -224,6 +187,8 @@

    Examples

    plotAbundance( tse, assay.type="relabundance", group = "Phylum", order.col.by = "Bacteroidetes") +#> Warning: Removed 728 rows containing missing values or values outside the scale range +#> (`geom_bar()`). # col.var from colData can be plotted together with abundance plot. @@ -236,21 +201,23 @@

    Examples

    # These two plots can be combined with wrap_plots function from patchwork # package library(patchwork) -wrap_plots(plot, ncol = 1) +wrap_plots(plot, ncol = 1, heights = c(0.95, 0.05)) +#> Warning: Removed 728 rows containing missing values or values outside the scale range +#> (`geom_bar()`). # } # Same plot as above but showing sample IDs as labels for the x axis on the -# top plot -plot[[1]] <- plotAbundance( +# top plot. Moreover, we use facets +plot <- plotAbundance( tse, assay.type = "relabundance", group = "Phylum", col.var = "SampleType", add.legend = FALSE, - add.x.text = TRUE)[[1]] + + add.x.text = TRUE, facet.cols = TRUE, scales = "free_x") + theme(axis.text.x = element_text(angle = 90)) -# \donttest{ -wrap_plots(plot, ncol = 1, heights = c(0.8,0.2)) +plot +#> Warning: Removed 728 rows containing missing values or values outside the scale range +#> (`geom_bar()`). -# } # Compositional barplot with top 5 taxa and samples sorted by # "Bacteroidetes"

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