GDAtools: A Toolbox for the Analysis of Categorical Data in Social Sciences, and Especially Geometric Data Analysis
Version 1.4

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

AuthorNicolas Robette
Date of publication2017-03-07 14:46:04
MaintainerNicolas Robette <nicolas.robette@uvsq.fr>
LicenseGPL (>= 2)
Version1.4
URL http://nicolas.robette.free.fr/outils_eng.html
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("GDAtools")

Popular man pages

conc.ellipse: Adds concentration ellipses to a correspondence analysis...
csMCA: Performs a 'class specific' MCA
modif.rate: Computes the modified rates of variance of a correspondence...
plot.speMCA: Plots 'specific' MCA results
stMCA: Performs a 'standardized' MCA
textvarsup: Adds a categorical supplementary variable to a MCA graph
translate.logit: Translate logit regression coefficients into percentages
See all...

All man pages Function index File listing

Man pages

burt: Computes a Burt table
conc.ellipse: Adds concentration ellipses to a correspondence analysis...
contrib: Computes contributions for a correspondence analysis
csMCA: Performs a 'class specific' MCA
dichotom: Dichotomizes the variables in a data frame
dimcontrib: Describes the contributions to axes for MCA and variants of...
dimdesc.MCA: Describes the dimensions of MCA and variants of MCA
dimeta2: Describes the eta2 of a list of supplementary variables for...
dimvtest: Describes the test-values of a list of supplementary...
getindexcat: Returns the names of the categories in a data frame
homog.test: Computes a homogeneity test for a categorical supplementary...
indsup: Computes statistics for supplementary individuals
medoids: Computes the medoids of clusters
modif.rate: Computes the modified rates of variance of a correspondence...
multiMCA: Performs Multiple Factor Analysis
Music: Music (data)
pem: Computes the local and global Percentages of Maximum...
plot.csMCA: Plots 'class specific' MCA results
plot.multiMCA: Plots Multiple Factor Analysis
plot.speMCA: Plots 'specific' MCA results
plot.stMCA: Plots 'standardized' MCA results
prop.wtable: Transforms a (possibly weighted) contingency table into...
speMCA: Performs a 'specific' MCA
stMCA: Performs a 'standardized' MCA
tabcontrib: Displays the categories contributing most to axes for MCA and...
Taste: Taste (data)
textindsup: Adds supplementary individuals to a MCA graph
textvarsup: Adds a categorical supplementary variable to a MCA graph
translate.logit: Translate logit regression coefficients into percentages
varsup: Computes statistics for a categorical supplementary variable
wtable: Computes a (possibly weighted) contingency table

Functions

Music Man page
Taste Man page
burt Man page Source code
conc.ellipse Man page Source code
contrib Man page Source code
csMCA Man page Source code
dichotom Man page Source code
dimcontrib Man page Source code
dimdesc.MCA Man page Source code
dimeta2 Man page Source code
dimvtest Man page Source code
getindexcat Man page Source code
homog.test Man page Source code
indsup Man page Source code
medoids Man page Source code
modif.rate Man page Source code
multiMCA Man page Source code
pem Man page Source code
plot.csMCA Man page Source code
plot.multiMCA Man page Source code
plot.speMCA Man page Source code
plot.stMCA Man page Source code
prop.wtable Man page Source code
speMCA Man page Source code
stMCA Man page Source code
tabcontrib Man page Source code
textindsup Man page Source code
textvarsup Man page Source code
translate.logit Man page Source code
varsup Man page Source code
wtable Man page Source code

Files

NAMESPACE
NEWS
data
data/Music.rda
data/Taste.rda
R
R/plot.speMCA.R
R/stMCA.R
R/modif.rate.R
R/indsup.R
R/plot.multiMCA.R
R/contrib.R
R/homog.test.R
R/speMCA.R
R/varsup.R
R/wtable.R
R/tabcontrib.R
R/dimdesc.MCA.R
R/plot.csMCA.R
R/dimeta2.R
R/csMCA.R
R/getindexcat.R
R/GDAtools-internal.R
R/prop.wtable.R
R/dimvtest.R
R/multiMCA.R
R/burt.R
R/plot.stMCA.R
R/medoids.R
R/dimcontrib.R
R/dichotom.R
R/textvarsup.R
R/conc.ellipse.R
R/textindsup.R
R/translate.logit.R
R/pem.R
MD5
DESCRIPTION
man
man/indsup.Rd
man/dichotom.Rd
man/plot.csMCA.Rd
man/dimvtest.Rd
man/conc.ellipse.Rd
man/Music.Rd
man/homog.test.Rd
man/getindexcat.Rd
man/wtable.Rd
man/pem.Rd
man/plot.stMCA.Rd
man/multiMCA.Rd
man/tabcontrib.Rd
man/plot.speMCA.Rd
man/plot.multiMCA.Rd
man/medoids.Rd
man/modif.rate.Rd
man/speMCA.Rd
man/stMCA.Rd
man/prop.wtable.Rd
man/burt.Rd
man/dimeta2.Rd
man/textvarsup.Rd
man/textindsup.Rd
man/varsup.Rd
man/csMCA.Rd
man/Taste.Rd
man/dimdesc.MCA.Rd
man/dimcontrib.Rd
man/translate.logit.Rd
man/contrib.Rd
GDAtools documentation built on May 19, 2017, 8:32 p.m.

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs in the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.