Visualizing the result of mctp
This function takes an object of class "mctp" and creates a plot of the confidence intervals for the estimated effects.
## S3 method for class 'mctp' plot(x,...)
x |
An object of class "mctp", i.e. the result when
applying |
... |
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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.