summary.mctp.rm {nparcomp}

Summary of mctp.rm

Description

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 class '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.

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).

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.

Note

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

Author(s)

Marius Placzek

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.

Examples

## Not run: 
data(panic)
a<-mctp.rm(CGI~week, data=panic, type = "Dunnett",
           alternative = "two.sided",
           asy.method =  "fisher", contrast.matrix = NULL)
summary(a)

## End(Not run)