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 0.3.2 Index]