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.
# 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)
# }