Heatmap (multi-dimensional Gaussian)

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.

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