The function performs 50-50 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
)matrix of hypothesis observations
matrix of error observations
Standardisation (0 or 1) of responses
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.
tuning parameter for the number of buffer components
minimum (if possible) number of buffer components
maximum number of buffer components
minimum number of "free dimensions"
correction parameter when "few" responses
A list with components
variance explained by
dimY components
variance explained by
dimY+bufferDim components
dimension of final "MANOVA-space"
the ordinary degrees of freedom for the test
number of components for testing
number of buffer components
test statistic: Wilks' Lambda
test statistic: Roy's Largest Root
test statistic: Hotelling-Lawley Trace Statistic
test statistic: Pillay-Bartlett Trace Statistic
\(p\)-value: Wilks' Lambda
\(p\)-value: LOWER BOUND for Roy's Largest Root
\(p\)-value: Hotelling-Lawley Trace Statistic
\(p\)-value: Pillay-Bartlett Trace Statistic
modelData and errorObs correspond to hypObs and
errorObs calculated by xy_Obj.