Visualisation of matrices using pheatmap-based heatmaps

Source: R/vis.R

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

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)