ffmanovatest  R Documentation 
The function performs 5050 MANOVA testing based on a matrix of hypothesis observations and a matrix of error observations.
ffmanovatest( modelData, errorData, stand = 0, part = c(0.9, 0.5), partBufDim = 0.5, minBufDim = 0, maxBufDim = 1e+08, minErrDf = 3, cp = 1 )
modelData 
matrix of hypothesis observations 
errorData 
matrix of error observations 
stand 
Standardisation (0 or 1) of responses 
part 
The variance explained required when choosing the number of components for testing. The default value is 0.5, but to choose a single component 0.9 is required. 
partBufDim 
tuning parameter for the number of buffer components 
minBufDim 
minimum (if possible) number of buffer components 
maxBufDim 
maximum number of buffer components 
minErrDf 
minimum number of "free dimensions" 
cp 
correction parameter when "few" responses 
modelData
and errorObs
correspond to hypObs
and
errorObs
calculated by xy_Obj
.
A list with components
exVar1 
variance explained by

exVar2 
variance explained by

dim 
dimension of final "MANOVAspace" 
dimX 
the ordinary degrees of freedom for the test 
dimY 
number of components for testing 
bufferDim 
number of buffer components 
D 
test statistic: Wilks' Lambda 
E 
test statistic: Roy's Largest Root 
A 
test statistic: HotellingLawley Trace Statistic 
M 
test statistic: PillayBartlett Trace Statistic 
pD 
pvalue: Wilks' Lambda 
pE 
pvalue: LOWER BOUND for Roy's Largest Root 
pA 
pvalue: HotellingLawley Trace Statistic 
pM 
pvalue: PillayBartlett Trace Statistic 
Øyvind Langsrud and BjørnHelge Mevik
ffmanova
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.