plot.mctp.rm: Visualizing the result of 'mctp.rm'

In nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

Description

This function takes an object of class "mctp.rm" and creates a plot of the confidence intervals for the estimated effects.

Usage

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

Arguments

x	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

It is not possible to change any parameter set in the mctp.rm-statement.

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

Value

plot.mctp.rm returns a graph that contains a confidence interval for the estimated effect of each contrast. It just visualizes the result of the mctp.rm-statement.

Note

It is possible to create a graphical result of the multiple comparison test procedure directly by setting plot.simci=TRUE in the mctp.rm-statement.

To get a complete result summary of mctp.rm the function summary.mctp.rm can be used.

Author(s)

Marius Placzek, Kimihiro Noguchi

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)
plot(a)

## End(Not run)

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