aov.P: One-way ANOVA using permutation tests

In MultNonParam: Multivariate Nonparametric Methods

One-way ANOVA using permutation tests

Description

aov.P uses permutation tests instead of classic theory tests to run a one-way or two-way ANOVA.

Usage

aov.P(dattab, treatment = NULL, be = NULL)

Arguments

dattab	The table on which the ANOVA has to be done, or a vector of responses.
treatment	If dattab is a table, ignored. If dattab is a vector, a vector of treatment labels.
be	If dattab is a table, ignored. If dattab is a vector, a vector of end points of blocks. In this case, blocks must form contiguous subvectors of dattab. If null, no blocking.

Details

The function calls a Fortran code to perform the permutation tests and the ANOVA. The function has to be applied directly on a cross-table of two variables.

Value

A list with fields pv, the p-value obtained with the permutation tests, and tot, the total number of permutations.

MultNonParam documentation built on Aug. 30, 2023, 9:09 a.m.