Factor Analysis and Data Mining with R

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Documentation for package `FactoMineR' version 1.01

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AFDM Multiple Factor Analysis for Mixed Data
CA Correspondence Analysis (CA)
children Children (data)
coord.ellipse Construct confidence ellipses
decathlon Performance in decathlon (data)
FDA Factorial Discriminant Analysis
GPA Generalised Procrustes Analysis
HMFA Hierarchical Multiple Factor Analysis
MCA Multiple Correspondence Analysis (MCA)
MFA Multiple Factor Analysis (MFA)
PCA Principal Component Analysis (PCA)
plot.AFDM Draw the Multiple Factor Analysis for Mixt Data graphs
plot.CA Draw the Correspondance Analysis (CA) graphs
plot.FDA Factorial Discriminant Analysis graphs
plot.GPA Draw the General Procrustes Analysis (GPA) map
plot.GPApartial Draw an interactive General Procrustes Analysis (GPA) map
plot.HMFA Draw the Hierarchical Multiple Factor Analysis (HMFA) graphs
plot.MCA Draw the Multiple Correspondance Analysis (CA) graphs
plot.MFA Draw the Multiple Factor Analysis (MFA) graphs
plot.MFApartial Plot an interactive Multiple Factor Analysis (MFA) graph
plot.PCA Make the Principal Component Analysis (PCA) graphs
poison Poison
print.AFDM Print the Multiple Factor Analysis of mixt Data (AFDM) results
print.CA Print the Correspondance Analysis (CA) results
print.FDA Print the Factor Discriminant Analysis (FDA) 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
simule Simulate by bootstrap
svd.triplet Singular Value Decomposition of a Matrix
tab.disjonctif Make a disjonctif table
wine Wine
write.infile Print in a file