sig.tot.inertia.perm: Permuted significance of the CA total inertia

In gianmarcoalberti/CAinterprTools: Package for graphical aid in Correspondence Analysis interpretation and significance testing

Description

This function allows you to calculate the permuted significance of CA total inertia. Number of permutation set at 1000 by default, but can be increased by the user.

Usage

sig.tot.inertia.perm(data, B = 1000)

Arguments

data:	name of the dataset (must be in dataframe format).
B:	number of permutations (1000 by default).

Examples

data(greenacre_data)
sig.tot.inertia.perm(greenacre_data, 10000) #Returns the density curve of the permuted total inertia (using 10000 permutations). Observed total inertia and the 95th percentile of the permuted inertia are also displayed for testing the significance of the observed total inertia.

gianmarcoalberti/CAinterprTools documentation built on May 17, 2019, 4:18 a.m.