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multigroup (version 0.4.5)

Multigroup Data Analysis

Description

Multivariate analysis methods including principal component analysis, partial least square regression, and multiblock analysis to describe, summarize, and visualize data with a group structure.

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Version

Install

install.packages('multigroup')

Monthly Downloads

69

Version

0.4.5

License

GPL-3

Maintainer

Aida Eslami

Last Published

February 23rd, 2020

Functions in multigroup (0.4.5)

deflation

Deflation
DGPA

Dual Generalized Procrustes Analysis
DSTATIS

Dual STATIS
mgPCA

Multigroup Principal Component Analysis
mgPLS

Multigroup Partial Least Squares Regression
similarity_noncum

Non cumulative similarity function
plot.mg

Plots for multigroup objects
summarize

Summary
loadingsplot

loadings plot
loadingsplotXY

loadings plot of X and Y
multigroup

multigroup: methods for multigroup data analysis
prepare_data

Preparing data
mbmgPCA

multiblock and multigroup Principal Component Analysis
transfer_Group

Transter function
normM

Normalize function for a matrix
scoreplot

Score plot for multigroup data
project

Project operatior
normv

Normalize function for a vector
select_initial_Iter

Selection of initial values
wine

Wine data
similarity_function

similarity function
oliveoil

Sensory and physico-chemical data of olive oils
Trace

trace of a matrix
iteraite_fun_Iter

Iteration function
DCCSWA

Dual Common Component and Specific Weights Analysis
BGC

Between Group Comparison
TBWvariance

Total, within- and between-group variances
FCPCA

Flury's Common Principal Component Analysis