catdes: Categories description

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

Categories description

Description

Description of the categories of one factor by categorical variables and/or by quantitative variables

Usage

catdes(donnee,num.var,proba = 0.05, row.w = NULL, na.method="NA")

Arguments

donnee	a data frame made up of at least one categorical variables and a set of quantitative variables and/or categorical variables
num.var	the indice of the variable to characterized
proba	the significance threshold considered to characterized the category (by default 0.05)
row.w	a vector of integers corresponding to an optional row weights (by default, a vector of 1 for uniform row weights)
na.method	a boolean that says how to manage missing values. If ; if na.method="NA" a new category is considered for the categorical variable; if na.method="na.omit" the missing values are deleted

Value

Returns a list including:

test.chi	The categorical variables which characterized the factor are listed in ascending order (from the one which characterized the most the factor to the one which significantly characterized with the proba proba
category	description of each category of the num.var by each category of all the categorical variables
quanti.var	the global description of the num.var variable by the quantitative variables with the square correlation coefficient and the p-value of the F-test in a one-way analysis of variance (assuming the hypothesis of homoscedsticity)
quanti	the description of each category of the num.var variable by the quantitative variables.

Author(s)

Francois Husson [e-mail]

References

Husson, F., Le, S. and Pages, J. (2010). Exploratory Multivariate Analysis by Example Using R, Chapman and Hall. Lebart, L., Morineau, A. and Piron, M. (1995) Statistique exploratoire multidimensionnelle, Dunod.

See Also

plot.catdes, condes

Examples

data(wine)
catdes(wine, num.var=2)

FactoMineR documentation built on May 29, 2024, 3:36 a.m.