# associations: Association measures between several categorical variables of... In dad: Three-Way / Multigroup Data Analysis Through Densities

 association measures R Documentation

## 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.