collapse_heatmap: Collapse a heatmap if the x and y-axes include subgroups
In eclarke/heatmappr: Utilities for heatmaps in ggplot2

If the factor defined on the x-axis is a sample but there are actually replicates for each sample, then defining the plot with aes(x=sample) and then collapse_heatmap yields the mean of each replicate.

1	collapse_heatmap(p, collapse_fn = mean, ...)

`p`	a ggplot heatmap with x, y, and fill aesthetics defined
`collapse_fn`	the function to use to combine all the inner values
`...`	additional arguments to collapse_fn

Similarly, for the y-axis, if you're interested in higher-order taxa, set aes(y=Genus) or similar and then collapse_heatmap to yield the mean abundance for that taxa.

If both axes contain subgroups, this averages over all of them.

eclarke/heatmappr documentation built on May 15, 2019, 7:54 p.m.