mv.2way.test: Randomized Complete Block Design.
In MNM: Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks

mv.2way.test

R Documentation

Randomized Complete Block Design.

Description

Multivariate tests for testing the null hypothesis that there is no treatment effect in a randomized complete block design using different scores.

Usage

mv.2way.test(x, block, treatment, score = c("identity", "sign", 
             "rank"), stand = c("outer", "inner"), 
             method = c("approximation", "permutation"),
             n.simu = 1000, eps=1.0e-10, n.iter=10000, 
             na.action = na.fail)

Arguments

`x`	a numeric data frame or matrix of response variables.
`block`	a factor with at least two levels.
`treatment`	a factor with at least two levels.
`score`	the score to be used. Possible choices are `identity`, `sign` and `rank`.
`stand`	the standardization method used. Possible choices are `outer` and `inner`.
`method`	method for the computation of the p-value for the spatial sign and spatial rank tests. Possible choices are `approximation` and `permutation`.
`n.simu`	number of simulated permutations if `method="permutation"`.
`eps`	convergence criterion.
`n.iter`	maximum number of iterations.
`na.action`	a function which indicates what should happen when the data contain 'NA's. Default is to fail.

Details

This implements the tests described in chapter 12 of the MNM book.

Value

A list with class 'htest' containing the following components:

`statistic`	the value of the test statistic.
`parameter`	the degrees of freedom for the test statistic or the number of replications in the simulation.
`p.value`	the p-value for the test.
`null.value`	the specified null hypothesis value of the location.
`alternative`	a character string with the value 'two.sided'.
`method`	a character string indicating what type of test was performed.
`data.name`	a character string giving the name of the data set and of the grouping vector.

Author(s)

Jyrki Mottonen jyrki.mottonen@helsinki.fi

References

Oja, H. (2010), Multivariate Nonparametric Methods with R, Springer.

Examples


blocks <- gl(10, 5)
treatments <- factor(rep(1:5, 10))
X <- rmvnorm(n = 50, mean = c(1,2,3), sigma = diag(3))
mv.2way.test(X, blocks, treatments, score="r", stand="i", method="a")

MNM documentation built on May 29, 2024, 8:49 a.m.