Visualise distributions of genes using heatmaps or other plots.

# S3 method for immunr_gene_usage
vis(.data, .plot = c("hist", "box", "heatmap", "heatmap2", "circos"), ...)

Arguments

.data

Output from the geneUsage function.

.plot

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.

Value

A ggplot2 object, pheatmap or circlize object.

See also

Examples

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).