pw.std: Pairwise standardized

In cribbie/equivalencetests: Equivalence Tests

Description

An equivalence test for repeated measures. Tests the null hypothesis that at least one pairwise mean difference is not practically equivalent, as defined by an equivalence interval. This null hypothesis is constructed as an intersection-union test, so the null hypothesis fails to be rejected if even one pairwise mean difference is not found to be statistically equivalent.

Usage

pw.std(data, repeated, ei, alpha = 0.05)

## S3 method for class 'pw.std'
print(x, ...)

Arguments

data	a data.frame object
repeated	a character vector containing the names of the repeated measures variables
ei	equivalence interval, in standardized metric
alpha	alpha/significance level
x	object of class pw.std
...	additional arguments

Examples

dat <- simRepDat()
pw.std(data=dat, repeated=c('repA', 'repB', 'repC'), ei=1)

cribbie/equivalencetests documentation built on May 14, 2019, 11:33 a.m.