Paired t-test

Compute the mean difference between paired samples, the corresponding confidence interval, and a p-value for the null hypothesis of equal means (that is, a difference of zero).

Usage

paired_t_inference(
  formula,
  data,
  alternative = c("two.sided", "less", "greater"),
  null = 0,
  conf.level = 0.95,
  backtransform = TRUE
)

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.

alternative

character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less".

null

a number specifying the null proportion for testing a null hypothesis; if not specified, no hypothesis test is performed.

conf.level

confidence level of the returned confidence interval. Must be a single number between 0 and 1.

backtransform

if response variable is of form log(y2) - log(y1), backtransform the resulting estimate and confidence interval bounds, so that they report the ratio of the geometric means rather than the difference on the log scale.