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GDAtools (version 1.3)

A toolbox for the analysis of categorical data in social sciences, and especially Geometric Data Analysis.

Description

This package contains functions for 'specific' MCA (Multiple Correspondence Analysis), 'class specific' MCA, computing and plotting structuring factors and concentration ellipses, 'standardized' MCA, inductive tests and others tools for Geometric Data Analysis. It also provides functions for the translation of logit models coefficients into percentages (forthcoming), weighted contingency tables and an association measure - i.e. Percentages of Maximum Deviation from Independence (PEM).

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Version

Install

install.packages('GDAtools')

Monthly Downloads

624

Version

1.3

License

GPL (>= 2)

Maintainer

Nicolas Robette

Last Published

September 6th, 2014

Functions in GDAtools (1.3)

Taste

Taste (data)
Music

Music (data)
contrib

Computes contributions for a correspondence analysis
conc.ellipse

Adds concentration ellipses to a correspondence analysis graph.
dichotom

Dichotomizes the variables in a data frame
burt

Computes a Burt table
csMCA

Performs a 'class specific' MCA
dimcontrib

Describes the contributions to axes for MCA and variants of MCA
dimvtest

Describes the test-values of a list of supplementary variables for the axes of MCA and variants of MCA
dimdesc.MCA

Describes the dimensions of MCA and variants of MCA
dimeta2

Describes the eta2 of a list of supplementary variables for the axes of MCA and variants of MCA
getindexcat

Returns the names of the categories in a data frame
indsup

Computes statistics for supplementary individuals
modif.rate

Computes the modified rates of variance of a correspondence analysis
multiMCA

Performs Multiple Factor Analysis
plot.multiMCA

Plots Multiple Factor Analysis
medoids

Computes the medoids of clusters
pem

Computes the local and global Percentages of Maximum Deviation from Independance (PEM)
plot.stMCA

Plots 'standardized' MCA results
plot.csMCA

Plots 'class specific' MCA results
plot.speMCA

Plots 'specific' MCA results
prop.wtable

Transforms a (possibly weighted) contingency table into percentages
wtable

Computes a (possibly weighted) contingency table
stMCA

Performs a 'standardized' MCA
textindsup

Adds supplementary individuals to a MCA graph
textvarsup

Adds a categorical supplementary variable to a MCA graph
speMCA

Performs a 'specific' MCA
homog.test

Computes a homogeneity test for a categorical supplementary variable
varsup

Computes statistics for a categorical supplementary variable