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
1 2 3 4 5 
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

stand 
the standardization method used. Possible choices are

method 
method for the computation of the pvalue for the
spatial sign and spatial rank tests. Possible choices are

n.simu 
number of simulated permutations if 
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 pvalue 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 M<f6>tt<f6>nen jyrki.mottonen@helsinki.fi
References
Oja, H. (2010), Multivariate Nonparametric Methods with R, Springer.
See Also
mv.1sample.test
, mv.Csample.test
, mv.2way.est
Examples
1 2 3 4 