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factorMerger (version 0.4.0)

The Merging Path Plot

Description

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) . 'factorMerger' is a part of the 'DrWhy.AI' universe (Biecek 2018) . Work on this package was financially supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.

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Install

install.packages('factorMerger')

Monthly Downloads

36

Version

0.4.0

License

GPL

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Maintainer

Tomasz Mikolajczyk

Last Published

July 3rd, 2019

Functions in factorMerger (0.4.0)

cutTree

Cut a Factor Merger Tree
plotGIC

GIC plot
plotHeatmap

Heatmap (multi-dimensional Gaussian)
plotBoxplot

Boxplot (single-dimensional Gaussian)
plotSurvival

Survival plot (survival)
plotFrequency

Frequency plot
plotTree

Plot Tree - Helper Function
plotTukey

TukeyHSD Plot
mergeFactors.formula

mergeFactors.formula
mergingHistory

Merging history
plotMeansAndConfInt

Means and standard deviation plot (single-dimensional Gaussian)
print.factorMerger

factorMerger
plotProfile

Profile plot (multi-dimensional Gaussian)
plotProportion

Proportion plot (binomial)
pisa2012

PISA 2012 dataset
plot.factorMerger

Plot Factor Merger
plotResponse

Plot Response - Helper Function
getOptimalPartitionDf

Get optimal partition (clusters dictionary)
generateSample

Generate sample
ess

European Social Survey - happiness
getOptimalPartition

Get optimal partition (final clusters names)
BRCA

Breast cancer dataset
groupsStats

Groups statistic
generateMultivariateSample

Generate multivariate normal sample
mergeFactors

Merge factors
mergeFactors.default

mergeFactors.default