vis_heatmap2: Visualisation of matrices using pheatmap-based heatmaps

In immunomind/immunarch: Bioinformatics Analysis of T-Cell and B-Cell Immune Repertoires

Visualisation of matrices using pheatmap-based heatmaps

Description

Visualise matrices with the functions based on the pheatmap package with minimum amount of arguments.

Usage

vis_heatmap2(
  .data,
  .meta = NA,
  .by = NA,
  .title = NA,
  .color = colorRampPalette(c("#67001f", "#d6604d", "#f7f7f7", "#4393c3",
    "#053061"))(1024),
  ...
)

Arguments

.data	Input matrix. Column names and row names (if presented) will be used as names for labs.
.meta	A metadata object. An R dataframe with sample names and their properties, such as age, serostatus or hla.
.by	Set NA if you want to plot samples without grouping.
.title	The text for the plot's title (same as the "main" argument in pheatmap).
.color	A vector specifying the colors (same as the "color" argument in pheatmap). Pass NA to use the default pheatmap colors.
...	Other arguments for the pheatmap function.

Value

A pheatmap object.

See Also

vis, repOverlap

Examples

data(immdata)
ov <- repOverlap(immdata$data)
vis_heatmap2(ov)

immunomind/immunarch documentation built on March 20, 2024, 12:01 p.m.