> On 24 Jun 2015, at 03:28 , gianni lavaredo <gianni.lavar...@gmail.com> wrote: > > > I am doing an Repeated Measures ANOVA and the Bonferroni post hoc test for > my data using R project. The ANOVA gives a significantly difference between > the data but not the Bonferroni post hoc test. > >> anova(aov2) > numDF denDF F-value p-value > (Intercept) 1 1366 110.51125 <.0001 > time 5 1366 9.84684 <.0001 > > while > >> pairwise.t.test(x=table.metric2$value, g=table.metric2$time, > p.adj="bonf")
And? Notice that pairwise.t.test does not take the plot variable into account. It might if you use paired=TRUE, *IF* your data layout allows it (so that when you split the data by times, observations in each subvector are from the same plots in the same order). -pd -- Peter Dalgaard, Professor, Center for Statistics, Copenhagen Business School Solbjerg Plads 3, 2000 Frederiksberg, Denmark Phone: (+45)38153501 Email: pd....@cbs.dk Priv: pda...@gmail.com ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
