Repeated Measures ANOVA and the Bonferroni post hoc test different results of significantly
On 24 Jun 2015, at 03:28 , gianni lavaredo <gianni.lavaredo at 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.mes at cbs.dk Priv: PDalgd at gmail.com