AFDM |
Multiple Factor Analysis for Mixed Data |
CA |
Correspondence Analysis (CA) |
catdes |
Categories description |
children |
Children (data) |
coeffRV |
Calculate the RV coefficient and test its significance |
condes |
Continuous variable description |
coord.ellipse |
Construct confidence ellipses |
decathlon |
Performance in decathlon (data) |
dimdesc |
Dimension description |
DMFA |
Dual Multiple Factor Analysis (DMFA) |
estim_ncp |
Estimate the number of components in Principal Component Analysis |
GPA |
Generalised Procrustes Analysis |
graph.var |
Make graph of variables |
HCPC |
Hierarchical Clustering on Principle Components (HCPC) |
HMFA |
Hierarchical Multiple Factor Analysis |
JO |
Number of medals in athletism during olympic games per country |
MCA |
Multiple Correspondence Analysis (MCA) |
MFA |
Multiple Factor Analysis (MFA) |
mortality |
The cause of mortality in France in 1979 and 2006 |
PCA |
Principal Component Analysis (PCA) |
plot.AFDM |
Draw the Multiple Factor Analysis for Mixt Data graphs |
plot.CA |
Draw the Correspondence Analysis (CA) graphs |
plot.catdes |
Plots for description of clusters (catdes) |
plot.DMFA |
Draw the Duale Multiple Factor Analysis (DMFA) graphs |
plot.GPA |
Draw the General Procrustes Analysis (GPA) map |
plot.HCPC |
Plots for Hierarchical Classification on Principle Components (HCPC) results |
plot.HMFA |
Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs |
plot.MCA |
Draw the Multiple Correspondence Analysis (MCA) graphs |
plot.MFA |
Draw the Multiple Factor Analysis (MFA) graphs |
plot.PCA |
Draw the Principal Component Analysis (PCA) graphs |
plotellipses |
Draw confidence ellipses around the categories |
plotGPApartial |
Draw an interactive General Procrustes Analysis (GPA) map |
plotMFApartial |
Plot an interactive Multiple Factor Analysis (MFA) graph |
poison |
Poison |
poison.text |
Poison |
poulet |
Donnees genomiques sur les poulets |
prefpls |
Scatter plot and additional variables with quality of representation contour lines |
print.AFDM |
Print the Multiple Factor Analysis of mixt Data (AFDM) results |
print.CA |
Print the Correspondance Analysis (CA) results |
print.GPA |
Print the Generalized Procrustes Analysis (GPA) results |
print.HMFA |
Print the Hierarchical Multiple Factor Analysis results |
print.MCA |
Print the Multiple Correspondance Analysis (MCA) results |
print.MFA |
Print the Multiple Factor Analysis results |
print.PCA |
Print the Principal Component Analysis (PCA) results |
reconst |
Reconstruction of the data from the PCA or MFA results |
simule |
Simulate by bootstrap |
svd.triplet |
Singular Value Decomposition of a Matrix |
tab.disjonctif |
Make a disjonctif table |
tab.disjonctif.prop |
Make a disjunctive table when missing values are present |
tea |
tea (data) |
textual |
Text mining |
wine |
Wine |
write.infile |
Print in a file |