CAinterprTools (version 1.1.0)

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

Description

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

Usage

malinvaud(data)

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

# NOT RUN {
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)

# }