Description Usage Arguments Details Value Note See Also Examples
Calculation of pvalues of a closed testing procedure (CTP).
The function returns an object of oldClass "ctp"; summary()
and Display()
can be applied.
1  AnalyseCTP(ctp.struc, model, data, factor.name = NULL, test.name = "F", ...)

ctp.struc 
Object generated by the function 
model 
model of the form response~treatment. If 
data 
Dataframe, missing values in the response or treatment variable are not allowed! 
factor.name 
Character string naming the factor whose levels are compared (treatment factor). By default the first variable of the righthand side of the model formula is used. 
test.name 
One of the following strings

... 
Additional arguments for the chosen test. 
The hypothesis tree of the closed testing procedure must be created using IntersectHypotheses
. For more details on the theory and the implementation as well
for many examples, see the vignettes.
An object of old class(ctp
), consisting of a list with:
CTPparms
: List with objects describing the CTP setup.
pvalues
: Dataframe with all tested hypotheses, raw and adjusted pvalues.
This procedure is constructed for testing differences and twosided hypotheses, but not for equivalence tests. It is further based on independent samples from the population involved (i.e. on parallel group designs, but not on crossover designs).
IntersectHypotheses
, Display
, summary.ctp.str
, summary.ctp
,
Adjust_raw
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