cross_tabs: Evaluate associations between categorical variables

In radiant.basics: Basics Menu for Radiant: Business Analytics using R and Shiny

Evaluate associations between categorical variables

Description

Evaluate associations between categorical variables

Usage

cross_tabs(
  dataset,
  var1,
  var2,
  tab = NULL,
  data_filter = "",
  envir = parent.frame()
)

Arguments

dataset	Dataset (i.e., a data.frame or table)
var1	A categorical variable
var2	A categorical variable
tab	Table with frequencies as alternative to dataset
data_filter	Expression entered in, e.g., Data > View to filter the dataset in Radiant. The expression should be a string (e.g., "price > 10000")
envir	Environment to extract data from

Details

See https://radiant-rstats.github.io/docs/basics/cross_tabs.html for an example in Radiant

Value

A list of all variables used in cross_tabs as an object of class cross_tabs

See Also

summary.cross_tabs to summarize results

plot.cross_tabs to plot results

Examples

cross_tabs(newspaper, "Income", "Newspaper") %>% str()
table(select(newspaper, Income, Newspaper)) %>% cross_tabs(tab = .)

radiant.basics documentation built on Sept. 8, 2023, 5:47 p.m.