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

Description Usage Arguments Details See Also Examples

View source: R/malinvaud.R

Description

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

Usage

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Arguments

data

Name of the dataset (must be in dataframe format).

Details

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 dot chart graphically represents the p-value of each dimension; dimensions are grouped by level of significance; a red reference lines indicates the 0.05 threshold.

See Also

sig.dim.perm.scree

Examples

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data(greenacre_data)

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

CAinterprTools documentation built on July 22, 2018, 5:04 p.m.