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 |