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PCAmixdata (version 2.1)

Multivariate analysis for a mixture of quantitative and qualitative data

Description

Principal Component Analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.

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Version

Install

install.packages('PCAmixdata')

Monthly Downloads

1,776

Version

2.1

License

GPL (>= 2.0)

Maintainer

Amaury Labenne

Last Published

February 10th, 2014

Functions in PCAmixdata (2.1)

plot.PCAmix

Graphs of a PCAmix analysis before or after rotation
Cut.Group

Cut.Group
Lg

Coefficient Lg
summary.MFAmix

Summary of a 'MFAmix' object
predict.MFAmix

Scores of new objects on the principal components of MFAmix
RV

Coefficient RV
decathlon

Performance in decathlon (data)
nb.level

nb.level
plot.MFAmix

Graphs of a MFAmix analysis
Lg.pond

Coefficient Lg with ponderation
PCAmix

Principal Component Analysis for a mixture of qualitative and quantitative variables
recodquant

Recoding of the quantitative data matrix
recodqual

Recoding of the qualitative data matrix
print.MFAmix

Print a 'MFAmix' object
RV.pond

Coefficient RV with ponderation
PCArot

Varimax rotation in PCAmix
INSEE

INSEE
predict.PCAmix

Scores of new objects on the principal components of PCAmix or PCArot
wine

Wine
tab.disjonctif.NA

Construction of the indicator matrix of a qualitative data matrix
vnf

Questionnaire done by 1232 individuals who answered 14 questions
print.PCAmix

Print a 'PCAmix' object
svd.triplet

Singular Value Decomposition of a Matrix
recod

Recoding of the quantitative and qualitative data matrix
Tri.Data

Tri.Data
MFAmix

Multiple Factor Analysis for a mixture of qualitative and quantitative variables inside the groups
summary.PCAmix

Summary of a 'PCAmix' object
sol.2dim

Varimax rotation for PCAmix in two dimensions
flower

Flower Characteristics