pw.unstd: Pairwise unstandardized

Description Usage Arguments References Examples

View source: R/pw.unstd.R

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

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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

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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.