Multivariate Analysis

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Documentation for package ‘MVar’ version 2.2.2

• 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.