summary.mctp: Summary of 'mctp'

In nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

Description

The function summary.mctp produces a result summary of mctp. It can only be applied to objects of class "mctp".

Usage

## S3 method for class '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.

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).

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.

Note

It is possible to create a graphical result of the multiple comparison test procedure by using the function plot.mctp.

Author(s)

Frank Konietschke

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.

Examples

## 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)

## End(Not run)

nparcomp documentation built on June 25, 2019, 5:02 p.m.