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PCAmixdata (version 3.1)
Multivariate Analysis of Mixed Data
Description
Implements principal component analysis, orthogonal rotation and multiple factor analysis for a mixture of quantitative and qualitative variables.
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Version
Version
3.1
3.0
2.2
2.1
2.0
Install
install.packages('PCAmixdata')
Monthly Downloads
1,381
Version
3.1
License
GPL (>= 2.0)
Maintainer
Marie Chavent
Last Published
October 23rd, 2017
Functions in PCAmixdata (3.1)
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plot.PCAmix
Graphical outputs of PCAmix and PCArot
predict.MFAmix
Prediction of new scores in MFAmix
PCArot
Varimax rotation in PCAmix
decathlon
Performance in decathlon (data)
dogs
Breeds of Dogs data
flower
Flower Characteristics
gironde
gironde
plot.MFAmix
Graphical outputs of MFAmix
MFAmix
Multiple factor analysis of mixed data
PCAmix
Principal component analysis of mixed data
recodquant
Recoding of the quantitative data matrix
splitgroups
splitgroups
summary.PCAmix
Summary of a 'PCAmix' object
print.PCAmix
Print a 'PCAmix' object
protein
Protein data
supvar.PCAmix
Supplementary variables in PCAmix
supvar
Supplementary variables projection
splitmix
splitmix
summary.MFAmix
Summary of a 'MFAmix' object
tab.disjonctif.NA
Built an indicator matrix
vnf
User satisfaction survey with 1232 individuals and 14 questions
supvar.MFAmix
Supplementary variables in MFAmix
recod
Recoding of the data matrices
recodqual
Recoding of the qualitative data matrix.
wine
Wine
predict.PCAmix
Prediction of new scores in PCAmix or PCArot
print.MFAmix
Print a 'MFAmix' object