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DetailsIt is not possible to change any parameter set in
the 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). Valueplot.mctp.rm 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)Marius Placzek ReferencesF. 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 AlsoFor further information on the usage of mctp.rm, see Examplesdata(panic) a<-mctp.rm(CGI~week, data=panic, type = "Dunnett", alternative = "two.sided", asy.method = "fisher", contrast.matrix = NULL) plot(a) Results |
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