Paired proportion test (McNemar's) — paired_proportion

Perform McNemar's test for paired proportions, by computing the proportion of those that switch from failure to success out of all those that switch in either direction and performing a one-sample proportion test with a null of 0.5.

Usage

paired_proportion_inference(
  formula,
  data,
  success,
  method = c("default", "wilson", "exact"),
  alternative = c("two.sided", "less", "greater"),
  correct = FALSE,
  conf.level = 0.95
)

Arguments

formula: a formula of the form y2 - y1 ~ 1 or ~ y2 -y1, where y1 and y2 are numeric variables. To perform test within subgroups, use y2 - y1 ~ x or y2 - y1 ~ 1 | g, or even y2- y1 ~ x | g, where x and g are factor variables.
data: a data frame containing the values in the formula.
success: the level of the response variable to consider a success
method: character string specifying which method to use. One of "default", "wilson", or "exact".
alternative: character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".
correct: a logical indicating whether Yates' continuity correction should be applied; used for Wilson test only.
conf.level: if desired, confidence level of the returned confidence interval. Must be a single number between 0 and 1.