pf.test {onewaytests}

Permutation F Test

Description

pf.test performs Permutation F test.

Usage

pf.test(formula, data, N = 10^5, alpha = 0.05, na.rm = TRUE, verbose = TRUE)

Arguments

formula

a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.

data

a tibble or data frame containing the variables in formula.

N

the number of bootstrap samples. Default is set to 10^5.

alpha

the level of significance to assess the statistical difference. Default is set to alpha = 0.05.

na.rm

a logical value indicating whether NA values should be stripped before the computation proceeds.

verbose

a logical for printing output to R console.

Value

A list with class "owt" containing the following components:

p.value

the Permutation F test p-value.

alpha

the level of significance to assess the statistical difference.

method

the character string "Permutation F Test".

data

a data frame containing the variables in which NA values (if exist) are removed.

formula

a formula of the form lhs ~ rhs where lhs gives the sample values and rhs the corresponding groups.

N

the number of bootstrap samples.

Author(s)

Osman Dag

References

Berry, K.J., Mielke Jr, P.W., Mielke, H.W. (2002). The Fisher-Pitman Permutation Test: an Attractive Alternative to the F Test. Psychological Reports, 90:2, 495-502.

Examples

library(onewaytests)


pf.test(Sepal.Length ~ Species, data = iris)

out <- pf.test(Sepal.Length ~ Species, data = iris)
paircomp(out)