Malinvaud4ptca: computes the Malinvaud-Saporta test for significance in...

View source: R/Perm4PTCA.R

Malinvaud4ptcaR Documentation

computes the Malinvaud-Saporta test for significance in correspondence analysis with asymptotically (and, if provided permutation) derived p-values

Description

Malinvaud4ptca: Compute the Malinvaud-Saporta test for significance in Correspondence Analysis. Provides asymptotic Chis-square based p-values, and if a set of permuted eigenvalues is provided (obtained, e.g., from Perm4MultCA or from perm4PTCA) provides _p_-values based on permutation tests. References: Malinvaud, E. (1987). Data Analysis in applied socio-economic statistics with special considerations of correspondence analysis. Marketing Science Conference Proceedings, HEC-ISA, Jouy-en-Josas. Also cited in Saporta (2011). Probabilité et Analyse des Données (3rd Ed). Technip, Paris. p. 209.

Usage

Malinvaud4ptca(Data, res.perm4ptca, ndigit4print = 4)

Arguments

Data

the contingency table used for CA

res.perm4ptca

The results from perm4PTCA that gives the eigenvalues obtained from a permutation test

ndigit4print

(Default = 4) number of digits to use to print the results

Value

: A dataframe with the results of the test

Author(s)

Herve Abdi


HerveAbdi/PTCA4CATA documentation built on July 17, 2022, 5:41 a.m.