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