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

Description Usage Arguments Examples

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

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Arguments

data:

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

Examples

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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.