plot.nparttest: Visualizing the result of 'npar.t.test'

In nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

Description

This function takes an object of class "nparttest" and creates a plot of the confidence interval for the estimated effect.

Usage

## S3 method for class 'nparttest'
plot(x,...)

Arguments

x	x 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

It is not possible to change any parameter set in the npar.t.test-statement.

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

Value

plot.npar.t.test returns a graph that contains a confidence interval for the estimated effect of the nonparametric t-test. It just visualizes the result of the npar.t.test-statement.

Note

It is possible to create a graphical result of the nonparametric t-test directly by setting plot.simci=TRUE in the npar.t.test-statement.

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.

See Also

For further information on the usage of npar.t.test, see npar.t.test.

Examples

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

## End(Not run)

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