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

Description Usage Arguments Details Value Author(s) References See Also Examples

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

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)

`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.

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

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.

Jyrki M<f6>tt<f6>nen jyrki.mottonen@helsinki.fi

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

mv.1sample.test, mv.Csample.test , mv.2way.est

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")