pairwise_prop_test: Pairwise Proportional Tests

In pstraforelli/tidytests: A tidy implementation of statistical testing

Pairwise Proportional Tests

Description

A tidy calculation of pairwise proportional comparisons between group levels with corrections for multiple testing

Usage

pairwise_prop_test(df, outcome, subgroups, vs_rest = FALSE, min_n = 30, ...)

Arguments

df	A data frame or tibble of raw observations
outcome	Response vector
subgroups	Grouping vector
vs_rest	Logical indicating whether to test each level of a subgroup to the rest of the data
min_n	A scalar numeric indicating the minimum sample size to test on. Defaulted to n=30.
...	Additional arguments passed on to pairwise.prop.test and prop.test

Value

A tibble with output from pairwise.prop.test

Examples

mydf <- data.frame(smokers = c(rbinom(100, 1, 0.8),
                               rbinom(70, 1, 0.7),
                               rbinom(50, 1, 0.6)),
                   region = c(rep("A", 100), rep("B", 70), rep("C", 50)))
pairwise_prop_test(mydf, smokers, region)
pairwise_prop_test(mydf, smokers, region, vs_rest = TRUE)

pstraforelli/tidytests documentation built on Oct. 28, 2023, 3:30 p.m.