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DetailsIt is not possible to change any parameter set in
the 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). Valueplot.mctp returns a graph that contains a confidence interval for the estimated
effect of each contrast. It just visualizes the result
of the NoteIt is possible to create a graphical result of the multiple comparison test
procedure directly by setting plot.simci=TRUE in the To get a complete result summary of Author(s)Frank Konietschke ReferencesF. Konietschke, L.A. Hothorn, E. Brunner: Rank-Based Multiple Test Procedures and Simultaneous Confidence Intervals. Electronic Journal of Statistics, Vol.0 (2011) 1-8. See AlsoFor further information on the usage of mctp, see Examplesdata(liver) a<-mctp(weight ~dosage, data=liver, asy.method = "fisher", type = "Dunnett", alternative = "two.sided", plot.simci = FALSE, info = FALSE) plot(a) Results |
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