R: Summary of 'npar.t.test'

summary.nparttestpaired {nparcomp}

R Documentation

Summary of `npar.t.test`

Description

The function summary.nparttestpaired produces a result summary of npar.t.test.paired. It can only be applied to objects of class "nparttestpaired".

Usage

## S3 method for class 'nparttestpaired'
summary(object,...)

Arguments

`object`	An object of class "nparttestpaired", i.e. the result when applying `npar.t.test.paired` to a dataset. Otherwise an error will occur.
`...`	Arguments to be passed to methods.

Details

Since summary.nparttestpaired is a S3 method it suffices to use summary(x) as long as x is of class "nparttestpaired". It will be interpreted as summary.nparttestpaired(x).

Value

The function produces a summary of the result of npar.t.test.paired starting with some global information: alternative hypothesis, confidence level, interpretation. This is followed by:

`Info`	List of samples and sample sizes.
`Analysis`	Effect: relative effect p(a,b) of the two samples 'a' and 'b', p.hat: estimated relative effect, Lower: Lower limit of the confidence interval, Upper: Upper limit of the confidence interval, T: teststatistic p.value: p-value for the hypothesis by the choosen approximation method.

Note

You can create a graphical result of the nonparametric paired t-test by using the function plot.nparttestpaired.

Author(s)

Frank Konietschke

References

Munzel, U., Brunner, E. (2002). An Exact Paired Rank Test. Biometrical Journal 44, 584-593.

Konietschke, F., Pauly, M. (2012). A Studentized Permutation Test for the Nonparametric Behrens-Fisher Problem in Paired Data. Electronic Journal of Statistic, Vol 6, 1358-1372.

Examples

## Not run: 
data(PGI)
a<-npar.t.test.paired(PGIscore~timepoint, data = PGI, 
               alternative = "two.sided", info=FALSE, plot.simci=FALSE)
summary(a)

## End(Not run)

[Package nparcomp version 3.0 Index]

Summary of npar.t.test