The function summary.mctp.rm produces a result summary of mctp.rm. It
can only be applied to objects of class "mctp.rm".
Usage
# S3 method for mctp.rm
summary(object,...)
Arguments
object
An object of class "mctp.rm", i.e. the result when
applying mctp.rm to a dataset. Otherwise an
error will occur.
...
Arguments to be passed to methods.
Value
The function produces a summary of the result of mctp.rm starting
with some global information: alternative hypothesis, estimation method, type of
contrast, confidence level. This is followed by:
Data.Info
List of samples and sample sizes and estimated effect per group.
Contrast
Contrast matrix.
Analysis
Estimator: Estimated relative effect,
Lower: Lower limit of the simultaneous confidence interval,
Upper: Upper limit of the simultaneous confidence interval,
Statistic: Teststatistic
p.Value: Adjusted p-values for the hypothesis by the choosen approximation method.
Details
Since summary.mctp.rm is a S3 method it suffices to use summary(x) as long as x is of
class "mctp.rm". It will be interpreted as summary.mctp.rm(x).
References
F. Konietschke, A.C. Bathke, L.A. Hothorn, E. Brunner: Testing and estimation of
purely nonparametric effects in repeated measures designs. Computational Statistics
and Data Analysis 54 (2010) 1895-1905.
See Also
For further information on the usage of mctp.rm, see mctp.rm.