The function summary.mctp produces a result summary of mctp. It
can only be applied to objects of class "mctp".
Usage
# S3 method for mctp
summary(object,...)
Arguments
object
An object of class "mctp", i.e. the result when
applying mctp 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 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 is a S3 method it suffices to use summary(x) as long as x is of
class "mctp". It will be interpreted as summary.mctp(x).
References
F. Konietschke, L.A. Hothorn, E. Brunner: Rank-Based Multiple Test Procedures and
Simultaneous Confidence Intervals. Electronic Journal of Statistics, Vol.0 (2011) 1-8.
See Also
For further information on the usage of mctp, see mctp.
# NOT RUN {data(liver)
a<-mctp(weight ~dosage, data=liver, asy.method = "fisher",
type = "Dunnett", alternative = "two.sided", plot.simci = FALSE,
info = FALSE)
summary(a)
# }