associations: Association measures between several categorical variables of...

In dad: Three-Way / Multigroup Data Analysis Through Densities

Association measures between several categorical variables of a data frame

Description

Computes pairwise association measures (Cramer's V, Pearson's contingency coefficient, phi, Tschuprow's T) between the categorical variables of a data frame, using functions of the package DescTools (see Assocs).

Usage

cramer.data.frame(x, check = TRUE)
pearson.data.frame(x, check = TRUE)
phi.data.frame(x, check = TRUE)
tschuprow.data.frame(x, check = TRUE)

Arguments

x	a data frame (can also be a tibble). Its columns should be factors.
check	logical. If TRUE (default) the function checks if each column of x is a factor, and there is a warning if it is not.

Value

A square matrix whose elements are the pairwise association measures.

Author(s)

Rachid Boumaza, Pierre Santagostini, Smail Yousfi, Sabine Demotes-Mainard

Examples

data(roses)
xr = roses[,c("Sha", "Den", "Sym", "rose")]
xr$Sha = cut(xr$Sha, breaks = c(0, 5, 7, 10))
xr$Den = cut(xr$Den, breaks = c(0, 4, 6, 10))
xr$Sym = cut(xr$Sym, breaks = c(0, 6, 8, 10))
cramer.data.frame(xr)
pearson.data.frame(xr)
phi.data.frame(xr)
tschuprow.data.frame(xr)

dad documentation built on Aug. 30, 2023, 5:06 p.m.