twlStat: Test Statistics for Two-Way Layout Permutation Test

In peramo: Permutation Tests for Randomization Model

Test Statistics for Two-Way Layout Permutation Test

Description

twlStat computes statistics for twl. This is not meant to be called directly.

Usage

twlStat(df, env = parent.frame())

Arguments

df	a data frame with the levels of the two main factors as the first and second columns and the measurement of responses as the third column.
env	an environment, to access outer scope variables.

Value

twlStat returns a list with at least 4 components:

Fs	the F statistics for global test.
F.main1 and F.main2	the F statistics for the first main factor and the second main factor.
F.int	the F statistic for the interaction.

In case of multiple comparisons, additional components are:

avg or avg.main1 and avg.main2	the mean responses for multiple comparisons.
d.main1sub and d.main2sub or d.main1 and d.main2	the differences in means.
mad.main1sub and mad.main2sub or mad.main1 and mad.main2	the maximum absolute differences in means.

References

Manly, B. F. J. (2007). Randomization, bootstrap, and Monte Carlo methods in biology (3rd ed). Chapman & Hall/ CRC.

peramo documentation built on May 31, 2023, 6:52 p.m.