FactoMineR-package |
Multivariate Exploratory Data Analysis and Data Mining with R |
AovSum |
Analysis of variance with the contrasts sum (the sum of the coefficients is 0) |
autoLab |
Function to better position the labels on the graphs |
CA |
Correspondence Analysis (CA) |
CaGalt |
Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) |
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) |
descfreq |
Description of frequencies |
dimdesc |
Dimension description |
DMFA |
Dual Multiple Factor Analysis (DMFA) |
ellipseCA |
Draw confidence ellipses in CA |
estim_ncp |
Estimate the number of components in Principal Component Analysis |
FactoMineR |
Multivariate Exploratory Data Analysis and Data Mining with R |
FAMD |
Factor Analysis for Mixed Data |
footsize |
footsize |
geomorphology |
geomorphology(data) |
GPA |
Generalised Procrustes Analysis |
graph.var |
Make graph of variables |
HCPC |
Hierarchical Clustering on Principle Components (HCPC) |
health |
health (data) |
HMFA |
Hierarchical Multiple Factor Analysis |
hobbies |
hobbies (data) |
JO |
Number of medals in athletism during olympic games per country |
LinearModel |
Linear Model with AIC or BIC selection, and with the contrasts sum (the sum of the coefficients is 0) if any categorical variables |
MCA |
Multiple Correspondence Analysis (MCA) |
meansComp |
Perform pairwise means comparisons |
MFA |
Multiple Factor Analysis (MFA) |
milk |
milk |
mortality |
The cause of mortality in France in 1979 and 2006 |
PCA |
Principal Component Analysis (PCA) |
plot.CA |
Draw the Correspondence Analysis (CA) graphs |
plot.CaGalt |
Draw the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) graphs |
plot.catdes |
Plots for description of clusters (catdes) |
plot.DMFA |
Draw the Dual Multiple Factor Analysis (DMFA) graphs |
plot.FAMD |
Draw the Multiple Factor Analysis for Mixt Data 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.meansComp |
Draw the means comparisons |
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 |
Genomic data for chicken |
predict.CA |
Predict projection for new rows with Correspondence Analysis |
predict.FAMD |
Predict projection for new rows with Factor Analysis of Mixed Data |
predict.LinearModel |
Predict method for Linear Model Fits |
predict.MCA |
Predict projection for new rows with Multiple Correspondence Analysis |
predict.MFA |
Predict projection for new rows with Multiple Factor Analysis |
predict.PCA |
Predict projection for new rows with Principal Component Analysis |
prefpls |
Scatter plot and additional variables with quality of representation contour lines |
print.AovSum |
Print the AovSum results |
print.CA |
Print the Correspondance Analysis (CA) results |
print.CaGalt |
Print the Correspondence Analysis on Generalised Aggregated Lexical Table (CaGalt) results |
print.catdes |
Print the catdes results |
print.condes |
Print the condes results |
print.FAMD |
Print the Multiple Factor Analysis of mixt Data (FAMD) results |
print.GPA |
Print the Generalized Procrustes Analysis (GPA) results |
print.HCPC |
Print the Hierarchical Clustering on Principal Components (HCPC) results |
print.HMFA |
Print the Hierarchical Multiple Factor Analysis results |
print.LinearModel |
Print the LinearModel 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, CA or MFA results |
RegBest |
Select variables in multiple linear regression |
senso |
senso |
simule |
Simulate by bootstrap |
summary.CA |
Printing summeries of ca objects |
summary.CaGalt |
Printing summaries of CaGalt objects |
summary.FAMD |
Printing summeries of FAMD objects |
summary.MCA |
Printing summeries of MCA objects |
summary.MFA |
Printing summaries of MFA objects |
summary.PCA |
Printing summeries of PCA objects |
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 |