R: Multivariate Analysis

# Multivariate Analysis

## Documentation for package ‘MVar’ version 2.2.8

- DESCRIPTION file.

## Help Pages

MVar-package | Multivariate Analysis.
Biplot | Biplot graph.
CA | Correspondence Analysis (CA).
CCA | Canonical Correlation Analysis(CCA).
Cluster | Cluster Analysis.
CoefVar | Coefficient of variation of the data.
DA | Linear (LDA) and quadratic discriminant analysis (QDA).
DataCoffee | Frequency data set.
DataFreq | Frequency data set.
DataInd | Frequency data set.
DataMix | Mixed data set.
DataQuali | Qualitative data set
DataQuan | Quantitative data set
FA | Factor Analysis (FA).
GrandTour | Animation technique Grand Tour.
GSVD | Generalized Singular Value Decomposition (GSVD).
IM | Indicator matrix.
LocLab | Function for better position of the labels in the graphs.
MDS | Multidimensional Scaling (MDS).
MFA | Multiple Factor Analysis (MFA).
NormData | Normalizes the data.
NormTest | Test of normality of the data.
PCA | Principal Components Analysis (PCA).
Plot.CA | Graphs of the simple (CA) and multiple correspondence analysis (MCA).
Plot.CCA | Graphs of the Canonical Correlation Analysis (CCA).
Plot.Cor | Plot of correlations between variables.
Plot.FA | Graphs of the Factorial Analysis (FA).
Plot.MFA | Graphics of the Multiple Factor Analysis (MFA).
Plot.PCA | Graphs of the Principal Components Analysis (PCA).
Plot.PP | Graphics of the Projection Pursuit (PP).
Plot.Regr | Graphs of the linear regression results.
PP_Index | Function to find the Projection Pursuit indexes (PP).
PP_Optimizer | Optimization function of the Projection Pursuit index (PP).
Regr | Linear regression.
Scatter | Scatter plot.