Last chance! 50% off unlimited learning
Sale ends in
Buy Now
Rdocumentation
powered by
Learn R Programming
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.
Copy Link
Link to current version
Version
Version
0.4.5
0.4.4
0.4.3
0.4.2
0.4.1
0.3
0.2
0.1
Install
install.packages('multigroup')
Monthly Downloads
40
Version
0.4.5
License
GPL-3
Maintainer
Aida Eslami
Last Published
February 23rd, 2020
Functions in multigroup (0.4.5)
Search all functions
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
