aovperm: Integration of the quasi-F statistics into the 'aovperm'...

In jaromilfrossard/permucoQuasiF: Permutation test for quasi-F statistic

Description

Provides p-values for omnibus tests based on permutations for quasi-F statistics

Usage

aovperm(formula, data = NULL, np = 5000, method = NULL,
  effect = NULL, ...)

Arguments

formula	A formula object. The formula for the quasi-F statistic should be written using the notation + Error(id/(A*C)) + Error(id/(B*C)) to specify random effect associate to subjects and items, where A is a within id factor, B is a within item factor and C is within id and item factors.
data	similar to the permuco package.
np	similar to the permuco package. Default value is 5000.
method	similar to the permuco package. The method is set to "terBraak" and "terBraak_logp" are available for the quasi-F statistic.
effect	a numeric specifying the effect to test. The value correspond to the "assign" attribute of the model.matrix argument of the fixed effect. The default is NULL tests all effects.
...	Futher arguments, see details.

Details

Similar to the permuco package.

Value

A lmperm object containing most of the objects given in an lm object, an ANOVA table with parametric and permutation p-values, the test statistics and the permutation distributions.

Author(s)

[e-mail]

jaromilfrossard/permucoQuasiF documentation built on May 5, 2019, 12:30 p.m.