chisq_pairwise: Follow-up for contingency table test

In mattansb/MSBMisc: Some functions I wrote that I find useful

Follow-up for contingency table test

Description

Follow-up for contingency table test

Usage

chisq_pairwise(
  Xsq,
  population_in_row = TRUE,
  adjust = stats::p.adjust.methods,
  effect_size = c("V", "phi"),
  ci = 0.95,
  ...
)

chisq_residual(
  Xsq,
  adjust = stats::p.adjust.methods,
  res_type = c("pearson", "standardized"),
  ci = 0.95
)

Arguments

Xsq	Result from chisq.test()
population_in_row	Comparisons by row? (If not, by column.)
adjust	Method for correcting p-values. See stats::p.adjust.
effect_size	Type of effect size to use.
ci	Confidence Interval (CI) level
...	Passed to chisq.test().
res_type	Type of residuals to use.

Examples

M <- as.table(rbind(
  c(762, 327, 468),
  c(484, 239, 477)
))
dimnames(M) <- list(
  gender = c("F", "M"),
  party = c("Democrat", "Independent", "Republican")
)
M

res <- chisq.test(M)
chisq_pairwise(res)
chisq_pairwise(res, population_in_row = FALSE)

chisq_residual(res)

mattansb/MSBMisc documentation built on March 22, 2023, 6:02 p.m.