summary.nparcomp: Summary of 'nparcomp'

In nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

Description

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

Usage

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

Arguments

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

Details

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

Value

The function produces a summary of the result of nparcomp starting with some global information: alternative hypothesis, estimation method, type of contrast, confidence level, method, interpretation. This is followed by:

Data.Info	List of samples and sample sizes.
Contrast	Contrast matrix.
Analysis	Comparison: relative contrast effect , relative.effect: estimated relative contrast effect, Estimator: Estimated relative contrast 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.
Overall	Overall p-value and critical value.

Note

It is possible to create a graphical result of the nonparametric test procedure nparcomp by using the function plot.nparcomp.

Author(s)

Frank Konietschke

References

Konietschke, F., Brunner, E., Hothorn, L.A. (2008). Nonparametric Relative Contrast Effects: Asymptotic Theory and Small Sample Approximations.

Munzel. U., Hothorn, L.A. (2001). A unified Approach to Simultaneous Rank Tests Procedures in the Unbalanced One-way Layout. Biometric Journal, 43, 553-569.

See Also

For further information on the usage of nparcomp, see nparcomp.

Examples

## Not run: 
data(liver)
a<-nparcomp(weight ~dosage, data=liver, asy.method = "probit", 
            type = "Williams", alternative = "two.sided", 
            plot.simci = FALSE, info = FALSE)
summary(a)

## End(Not run)

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