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MultiGroupO (version 0.4.0)

MultiGroup Method and Simulation Data Analysis

Description

Two method new of multigroup and simulation of data. The first technique called multigroup PCA (mgPCA) this multivariate exploration approach that has the idea of considering the structure of groups and / or different types of variables. On the other hand, the second multivariate technique called Multigroup Dimensionality Reduction (MDR) it is another multivariate exploration method that is based on projections. In addition, a method called Single Dimension Exploration (SDE) was incorporated for to analyze the exploration of the data. It could help us in a better way to observe the behavior of the multigroup data with certain variables of interest.

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Version

Install

install.packages('MultiGroupO')

Monthly Downloads

190

Version

0.4.0

License

GPL-3

Maintainer

Carolina Millap/'an

Last Published

July 7th, 2024

Functions in MultiGroupO (0.4.0)

pca

Performs a principal components analysis in the given data matrix. Show PCA graphical output.
sde.method

Performs a Single Dimension Exploration (SDE) analysis in the given multigroup data matrix. Show SDE graphical output.
mgpca

Performs a Multigroup PCA analysis in the given multigroup data matrix. Show mgpca graphical output.
fun.sim

Simulation function of quantitative multigroup data under a multivariate normal distribution
new.cov

Function for the new covariance matrix in the multigroup PCA method
BIplot

biplot methods
mdr

Performs a Multigroup Dimensionality Reduction (MDR) analysis in the given multigroup data matrix. Show MDR graphical output.