Visualise distributions of genes using heatmaps or other plots.
Output from the geneUsage function.
String specifying the plot type:
- "hist" for histograms using vis_hist;
- "heatmap" for heatmaps using vis_heatmap;
- "heatmap2" for heatmaps using vis_heatmap2;
- "circos" for circos plots using vis_circos.
Other arguments passed to corresponding functions depending on the plot type:
- "hist" - passes arguments to vis_hist;
- "box" - passes arguments to vis_box;
- "heatmap" - passes arguments to vis_heatmap;
- "heatmap2" - passes arguments to vis_heatmap2 and heatmap from the "pheatmap" package;
- "circos" - passes arguments to vis_circos and chordDiagram from the "circlize" package.
A ggplot2 object, pheatmap or circlize object.
data(immdata)
gu <- geneUsage(immdata$data[[1]])
vis(gu)
#> Using Names as id variables
gu <- geneUsage(immdata$data)
vis(gu, .by = "Status", .meta = immdata$meta)
#> Using Names as id variables
#> Warning: Removed 15 rows containing non-finite values (`stat_compare_means()`).
#> Warning: Removed 15 rows containing missing values (`geom_point()`).
vis(gu, "box", .by = "Status", .meta = immdata$meta)
#> Using Names as id variables
#> Warning: Removed 15 rows containing non-finite values (`stat_boxplot()`).
#> Warning: Removed 15 rows containing non-finite values (`stat_compare_means()`).
#> Warning: Removed 15 rows containing missing values (`geom_point()`).
#> Warning: Removed 1 rows containing missing values (`geom_text()`).