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Description

This package is dedicated to factorial analysis and rotation of quantitative data, qualitative data, or mixed data. The PCAMIX method, proposed in this package includes the ordinary principal component analysis (PCA) and multiple correspondence analysis (MCA) as special cases. Orthogonal varimax rotation of the principal components of PCAMIX is also implemented in this package. Multiple Factorial Analysis (MFA) for data structured in groups of variables is also proposed. Variables can be quantitative, qualitative or a mixture of both within each group.

Install

To install the current development version from github, use :

devtools::install_github("chavent/PCAmixdata")
# This needs the devtools package to be installed :
# install.packages("devtools")

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Version

Install

install.packages('PCAmixdata')

Monthly Downloads

1,776

Version

3.0

License

GPL (>= 2.0)

Maintainer

Marie Chavent

Last Published

July 6th, 2017

Functions in PCAmixdata (3.0)

Lg

Coefficient Lg
Lg.pond

Coefficient Lg with ponderation
MFAmix

Multiple factor analysis of mixed data
PCAmix

Principal component analysis of mixed data
PCArot

Varimax rotation in PCAmix
RV

Coefficient RV
dogs

Breeds of Dogs data
flower

Flower Characteristics
RV.pond

Coefficient RV with ponderation
decathlon

Performance in decathlon (data)
protein

Protein data
recod

Recoding of the data matrices
recodqual

Recoding of the qualitative data matrix.
predict.MFAmix

Prediction of new scores in MFAmix
predict.PCAmix

Prediction of new scores in PCAmix or PCArot
summary.PCAmix

Summary of a 'PCAmix' object
supvar.MFAmix

Supplementary variables in MFAmix
print.MFAmix

Print a 'MFAmix' object
print.PCAmix

Print a 'PCAmix' object
supvar.PCAmix

Supplementary variables in PCAmix
gironde

gironde
nb.level

nb.level
splitmix

splitmix
summary.MFAmix

Summary of a 'MFAmix' object
vnf

User satisfaction survey with 1232 individuals and 14 questions
wine

Wine
supvar

Supplementary variables projection
plot.MFAmix

Graphical outputs of MFAmix
plot.PCAmix

Graphical outputs of PCAmix and PCArot
sol.2dim

Varimax rotation for PCAmix in two dimensions
splitgroups

splitgroups
svd.triplet

Singular Value Decomposition of a Matrix
recodquant

Recoding of the quantitative data matrix
tab.disjonctif.NA

Built an indicator matrix