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mccca (version 1.1.0.1)

Visualizing Class Specific Heterogeneous Tendencies in Categorical Data

Description

Performing multiple-class cluster correspondence analysis(MCCCA). The main functions are create.MCCCAdata() to create a list to be applied to MCCCA, MCCCA() to apply MCCCA, and plot.mccca() for visualizing MCCCA result. Methods used in the package refers to Mariko Takagishi and Michel van de Velden (2022).

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Version

Install

install.packages('mccca')

Monthly Downloads

194

Version

1.1.0.1

License

GPL (>= 2)

Maintainer

Mariko Takagishi

Last Published

January 24th, 2024

Functions in mccca (1.1.0.1)

generate.onedata

Generate (NxJ) categorical data matrix.
create.MCCCAdata

this function creates a list (class: mcccadata) to be applied to MCCCA.
generate.cate.list

Generate (NxJ) categorical data matrix.
generate.ext

generates an artificial (NxH) external variable matrix.
MCCCA

apply MCCCA for dataset.
generate.catecls

Generate (NxJ) clustered categorical data matrix.
create.prop

Creates a list length J of category proportion for each cluster.
plot.mccca

plot mccca object.