effect_counts_one: Test homogeneity of category shares

In volker: High-Level Functions for Tabulating, Charting and Reporting Survey Data

Test homogeneity of category shares

Description

Performs a goodness-of-fit test and calculates the Gini coefficient. The goodness-of-fit-test is calculated using stats::chisq.test.

Usage

effect_counts_one(data, col, clean = TRUE, ...)

Arguments

data	A tibble.
col	The column holding factor values.
clean	Prepare data by data_clean
...	Placeholder to allow calling the method with unused parameters from effect_counts.

Value

A volker tibble with the following statistical measures:

• Gini coefficient: Gini coefficient, measuring inequality.

• n: Number of cases the calculation is based on.

• Chi-squared: Chi-Squared test statistic.

• p: p-value for the statistical test.

• stars: Significance stars based on p-value (*, **, ***).

Examples

library(volker)
data <- volker::chatgpt

data |>
  filter(sd_gender != "diverse") |>
  effect_counts_one(sd_gender)

volker documentation built on April 12, 2025, 9:16 a.m.