R: Summary of 'npar.t.test'

summary.nparttest {nparcomp}

R Documentation

Summary of `npar.t.test`

Description

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

Usage

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

Arguments

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

Details

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

Value

The function produces a summary of the result of npar.t.test 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', Estimator: 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.
`Permutation_Test`	Result of the studentized permutation test.

Note

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

Author(s)

Frank Konietschke

References

Brunner, E., Munzel, U. (2000). The Nonparametric Behrens-Fisher Problem: Asymptotic Theory and a Small Sample Approximation. Biometrical Journal 42, 17-25.

Neubert, K., Brunner, E., (2006). A Studentized Permutation Test for the Nonparametric Behrens-Fisher Problem. Computational Statistics and Data Analysis.

Examples

## Not run: 
data(impla)
a<-npar.t.test(impla~group, data = impla, method = "t.app",
               alternative = "two.sided", 
               plot.simci=FALSE, info=FALSE)
summary(a)


## End(Not run)

[Package nparcomp version 3.0 Index]

Summary of npar.t.test