plotHeatmap

object of a class <code>factorMerger</code>

factorMerger

Boolean. If <code>TRUE</code>, the default, there is added aesthetic group corresponding
to the final cluster split.

color

final cluster split definition. A list with two fields:<ul>
<li><code>stat</code> cluster statistic (available statistics are: <code>"loglikelihood"</code>, <code>"pvalue"</code>, <code>"GIC"</code>),</li>
<li><code>value</code> cut threshold / GIC penalty</li>
</ul>

clusterSplit

palette

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.

The Merging Path Plot is a methodology for adaptive fusing of k-groups
with likelihood-based model selection. This package contains tools for
exploration and visualization of k-group dissimilarities.
Comparison of k-groups is one of the most important issues
in exploratory analyses and it has zillions of applications.
The traditional approach is to use pairwise post hoc tests
in order to verify which groups differ significantly. However,
this approach fails with a large number of groups in both interpretation
and visualization layer.
The Merging Path Plot solves this problem by using an easy-to-understand
description of dissimilarity among groups based on Likelihood Ratio Test (LRT) statistic (Sitko, Biecek 2017) <arXiv:1709.04412>.
'factorMerger' is a part of the 'DrWhy.AI' universe (Biecek 2018) <arXiv:1806.08915>.
Work on this package was financially supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.

plotHeatmap: Heatmap (multi-dimensional Gaussian)

Description

Usage

Arguments