catdesc: Measures the association between a categorical variable and...

In GDAtools: A Toolbox for Geometric Data Analysis and More

Measures the association between a categorical variable and some continuous and/or categorical variables

Description

Measures the association between a categorical variable and some continuous and/or categorical variables

Usage

catdesc(y, x, weights=rep(1,length(y)), min.phi=NULL, 
robust=TRUE, nperm=NULL, distrib="asympt", dec=c(3,3,3,3,1,3))

Arguments

y	the categorical variable to describe (must be a factor)
x	a data frame with continuous and/or categorical variables
weights	an optional numeric vector of weights (by default, a vector of 1 for uniform weights)
min.phi	for the relationship between y and a categorical variable, only associations higher or equal to min.phi will be displayed. If NULL (default), they are all displayed.
robust	logical. If FALSE, mean and standard deviation are used instead of median and mad. Default is TRUE.
nperm	numeric. Number of permutations for the permutation test of independence. If NULL (default), no permutation test is performed.
distrib	the null distribution of permutation test of independence can be approximated by its asymptotic distribution ("asympt", default) or via Monte Carlo resampling ("approx").
dec	vector of 6 integers for number of decimals. The first value if for association measures, the second for permutation p-values, the third for percents, the fourth for phi coefficients, the fifth for medians and mads, the sixth for point biserial correlations. Default is c(3,3,3,3,1,3).

Value

A list of the following items :

variables	associations between y and the variables in x
bylevel	a list with one element for each level of y

Each element in bylevel has the following items :

categories	a data frame with categorical variables from x and associations measured by phi
continuous.var	a data frame with continuous variables from x and associations measured by correlation coefficients

Author(s)

Nicolas Robette

References

Rakotomalala R., 'Comprendre la taille d'effet (effect size)', [http://eric.univ-lyon2.fr/~ricco/cours/slides/effect_size.pdf]

See Also

catdes, condesc, assoc.yx, darma

Examples

data(Movies)
catdesc(Movies$ArtHouse, Movies[,c("Budget","Genre","Country")])

GDAtools documentation built on March 18, 2022, 5:13 p.m.