effect_counts_one_grouped: Output test statistics and effect size for contingency tables

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

Output test statistics and effect size for contingency tables

Description

Chi squared is calculated using stats::chisq.test. If any cell contains less than 5 observations, the exact-parameter is set.

Usage

effect_counts_one_grouped(data, col, cross, clean = TRUE, ...)

Arguments

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

Details

Phi is derived from the Chi squared value by sqrt(fit$statistic / n). Cramer's V is derived by sqrt(phi / (min(dim(contingency)[1], dim(contingency)[2]) - 1)).

Value

A volker tibble with the following statistical measures:

• Cramer's V: Effect size measuring the association between two variables.

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

• Chi-squared: Chi-Squared test statistic.

• df: Degrees of freedom.

• p: p-value for the statistical test.

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

Examples

library(volker)
data <- volker::chatgpt

effect_counts_one_grouped(data, adopter, sd_gender)

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