Description Usage Arguments Details Value Author(s) References See Also Examples
View source: R/mpSTATIS.rowPreproc.R
Preprocessesing of the rows of the matrix for STATIS.
1 | mpSTATIS.rowPreproc(data, row.preprocess = 'None')
|
data |
Data Matrix |
row.preprocess |
String option with the following options: 'None'(Default), 'Profile', 'Hellinger','Center', and 'Center_Hellinger' |
Row Preprocessing is the first preprocessing step in STATIS. The only combination of row preprocessing that is allowed is Centering and Hellinger. The other preprocessing options cannot be combined.
If you need to create the Group Matrix into a design matrix, you can use makeNominalData
which was developed by Derek Beaton.
A matrix of the same dimensions as the data matrix, which is the result of the row preprocessing step chosen.
Cherise R. Chin Fatt and Hervé Abdi.
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.
mpSTATIS.rowPreproc
, mpSTATIS.columnPreproc
, mpSTATIS.tablePreproc
1 2 3 4 | # Center - type of row preprocessing choosen
row.preprocess ='Center'
X <- matrix(1:10,2)
preproc <- mpSTATIS.rowPreproc(X, row.preprocess)
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