Cut.Group |
Cut.Group |
decathlon |
Performance in decathlon (data) |
flower |
Flower Characteristics |
INSEE |
INSEE |
Lg |
Coefficient Lg |
Lg.pond |
Coefficient Lg with ponderation |
MFAmix |
Multiple Factor Analysis for a mixture of qualitative and quantitative variables inside the groups |
nb.level |
nb.level |
PCAmix |
Principal Component Analysis for a mixture of qualitative and quantitative variables |
PCArot |
Varimax rotation in PCAmix |
plot.MFAmix |
Graphs of a MFAmix analysis |
plot.PCAmix |
Graphs of a PCAmix analysis before or after rotation |
predict.MFAmix |
Scores of new objects on the principal components of MFAmix |
predict.PCAmix |
Scores of new objects on the principal components of PCAmix or PCArot |
print.MFAmix |
Print a 'MFAmix' object |
print.PCAmix |
Print a 'PCAmix' object |
recod |
Recoding of the quantitative and qualitative data matrix |
recodqual |
Recoding of the qualitative data matrix |
recodquant |
Recoding of the quantitative data matrix |
RV |
Coefficient RV |
RV.pond |
Coefficient RV with ponderation |
sol.2dim |
Varimax rotation for PCAmix in two dimensions |
summary.MFAmix |
Summary of a 'MFAmix' object |
summary.PCAmix |
Summary of a 'PCAmix' object |
svd.triplet |
Singular Value Decomposition of a Matrix |
tab.disjonctif.NA |
Construction of the indicator matrix of a qualitative data matrix |
Tri.Data |
Tri.Data |
vnf |
Questionnaire done by 1232 individuals who answered 14 questions |
wine |
Wine |