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DetailsIt is not possible to change any parameter set in
the Since plot.nparcomp is a S3 method it suffices to use plot(x) as long as x is of class "nparcomp". It will be interpreted as plot.nparcomp(x). Valueplot.nparcomp returns a graph that contains a confidence interval for the estimated
nonparametric contrast effect of each contrast. It just visualizes the result
of the NoteIt is possible to create a graphical result directly
by setting plot.simci=TRUE in the Author(s)Frank Konietschke ReferencesKonietschke, F., Brunner, E., Hothorn, L.A. (2008). Nonparametric Relative Contrast Effects: Asymptotic Theory and Small Sample Approximations. Munzel. U., Hothorn, L.A. (2001). A unified Approach to Simultaneous Rank Tests Procedures in the Unbalanced One-way Layout. Biometric Journal, 43, 553-569. See AlsoFor further information on the usage of nparcomp, see Examplesdata(liver) a<-nparcomp(weight ~dosage, data=liver, asy.method = "probit", type = "Williams", alternative = "two.sided", plot.simci = FALSE, info = FALSE) plot(a) Results |
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