PLSDA.Permut: Permutation PLSDA test

Description Usage Arguments Value See Also

Description

Perform permutation, using training classification accuracy or separation distance as indicator, for two or multi-groups.

Usage

1
PLSDA.Permut(dataSet, analSet, num = 100, type = "accu")

Arguments

dataSet

List, data set object generated by MS_to_MA function.

analSet

List, containing the results of statistical analysis (can be just an empty list).

num

The number of permutations.

type

The indicator. If "accu" - training classification accuracy; if "sep" - separation distance.

Value

Native analSet with some elements added:

See Also

PLS.Anal, PLS.Loadings, PLSDA.CV, PlotPLS


flajole/MApckg documentation built on May 16, 2019, 1:16 p.m.