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DetailsIt is not possible to change any parameter set in
the Since plot.nparttestpaired is a S3 method it suffices to use plot(x) as long as x is of class "nparttestpaired". It will be interpreted as plot.nparttestpaired(x). Valueplot.npar.t.test returns a graph that contains a confidence interval for the estimated
effect of the nonparametric studentized permutation test as well as. It just visualizes the result
of the NoteIt is possible to create a graphical result of the nonparametric studentized permutation test directly
by setting plot.simci=TRUE in the Author(s)Frank Konietschke ReferencesMunzel, U., Brunner, E. (2002). An Exact Paired Rank Test. Biometrical Journal 44, 584-593. Konietschke, F., Pauly, M. (2012). A Studentized Permutation Test for the Nonparametric Behrens-Fisher Problem in Paired Data. Electronic Journal of Statistic, Vol 6, 1358-1372. See AlsoFor further information on the usage of npar.t.test.paired, see Examplesdata(PGI) a<-npar.t.test.paired(PGIscore~timepoint, data = PGI, alternative = "two.sided", info=TRUE, plot.simci=FALSE) plot(a) Results |
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