mpSTATIS.tablePreproc: mpSTATIS.tablePreproc: Table Preprocessing for STATIS

In MExPosition: Multi-table ExPosition

Description

Preprocessing of the tables for STATIS.

Usage

mpSTATIS.tablePreproc(data, column.design, table.preprocess = 'None')

Arguments

data	Data Matrix
column.design	Matrix which identifies the tables.
table.preprocess	String option with the following options: 'None' (Default), 'Num_Columns', 'Tucker','Sum_PCA', 'RV_Normalization' and 'MFA_Normalization'

Details

Table Preprocessing is the last preprocessing step in STATIS. Only one type of table preprocessing is suggested.

If you need to create the Group Matrix into a design matrix, you can use makeNominalData which was developed by Derek Beaton.

Value

The output of STATIS.tablePreproc is a matrix of the same dimensions as the data matrix, which is the result of the table preprocessing step chosen.

Author(s)

Cherise R. Chin Fatt and Hervé Abdi.

References

Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012). STATIS and DISTATIS: Optimum multi-table principal component analysis and three way metric multidimensional scaling. Wiley Interdisciplinary Reviews: Computational Statistics, 4, 124-167

See Also

mpSTATIS.rowPreproc, mpSTATIS.columnPreproc, mpSTATIS.preprocess

Examples

# Sum PCA - type of table preprocessing choosen
table.preprocess='Sum_PCA'
X <- matrix(1:10,2)
Y<- c('g1','g1','g1','g2','g2')
groupMatrix <- t(makeNominalData(as.matrix(Y)))
preproc <- mpSTATIS.tablePreproc(X,groupMatrix, table.preprocess)

MExPosition documentation built on May 29, 2017, 2:27 p.m.