plot.mctp: Visualizing the result of 'mctp'
In nparcomp: Multiple Comparisons and Simultaneous Confidence Intervals

Description Usage Arguments Details Value Note Author(s) References See Also Examples

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

1 2	## S3 method for class 'mctp' plot(x,...)

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

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

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

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

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

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

Frank Konietschke, Kimihiro Noguchi

F. Konietschke, L.A. Hothorn, E. Brunner: Rank-Based Multiple Test Procedures and Simultaneous Confidence Intervals. Electronic Journal of Statistics, Vol.0 (2011) 1-8.

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

data(liver)
a<-mctp(weight ~dosage, data=liver, asy.method = "fisher",
        type = "Dunnett", alternative = "two.sided", plot.simci = FALSE, 
        info = FALSE)
plot(a)