malinvaud: Malinvaud's test for significance of the CA dimensions

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

Description

This function allows you to perform the Malinvaud's test, which assesses the significance of the CA dimensions.

The function returns both a table in the R console and a plot. The former lists relevant information, among which the significance of each CA dimension. The dotchart graphically represents the p-value of each dimension; dimensions are grouped by level of significance; a red reference lines indicates the 0.05 threshold.

Usage

malinvaud(data)

Arguments

data:

name of the datset (must be in dataframe format).

Examples

data(greenacre_data)
malinvaud(greenacre_data) #perform the Malinvaud test using the 'greenacre_data' dataset
res <- malinvaud(greenacre_data) #perform the Malinvaud test using the 'greenacre_data' dataset and store the output table in a object named 'res'

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