R: Heatmap (multi-dimensional Gaussian)

plotHeatmap {factorMerger} | R Documentation

## Heatmap (multi-dimensional Gaussian)

### Description

Plots heatmap for each dimension of the response variable. Vector of means of factor levels for a given dimension is scaled to have mean equal to zero and standard deviation equal to one.

### Usage

    plotHeatmap(factorMerger, color, clusterSplit, palette = "Greys")

### Arguments

`factorMerger` | object of a class `factorMerger`
`color` | Boolean. If `TRUE`, the default, there is added aesthetic group corresponding to the final cluster split.
`clusterSplit` | final cluster split definition. A list with two fields: `stat` cluster statistic (available statistics are: `"loglikelihood"`, `"pvalue"`, `"GIC"`), `value` cut threshold / GIC penalty
`palette` | custom palette

[Package factorMerger version 0.3.6 Index]