pw.unstd: Pairwise unstandardized

In cribbie/equivalencetests: Equivalence Tests

Description

Equivalence interval is in unstandardized metric. If at least one pairwise mean difference is found not statistically significant (in equivalence), then the whole test fails to reject the null hypothesis.

Usage

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

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

Arguments

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

References

Mara, C. A., & Cribbie, R. A. (2012). Paired-samples tests of equivalence. Communications in Statistics-Simulation and Computation, 41(10), 1928-1943.

Wellek, S. (2010). Testing statistical hypotheses of equivalence and noninferiority. CRC Press.

Examples

dat <- simRepDat()
pw.unstd(data=dat, repeated=c('repA', 'repB', 'repC'), ei=0.25)

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