Frederic Jean wrote:
I am studying a dataset using the aov() function.
The independant variable 'cds' is a factor() with 8 levels and here is
the result in studying the dependant variable 'rta' with aov() :
summary(aov(rta ~ cds))
Df Sum Sq Mean Sq F value Pr(F)
cds
The pairwise tests compare only pairs of means. Plot the means
themselves. Chances are you will see some clustering of groups,
or a visible contrast of several groups.
Rich
__
R-help@stat.math.ethz.ch mailing list
Frederic,
You're performing 8*7/2 = 28 multiple comparisons controlling the FWE at
the .05 level. Using a Bonferroni's adjustment (admittedly more
conservative than the Holm's or Tukey's approach), that's testing each
comparison at the .05/28 = 0.0018 level. With only 100 observations spread
You can use the LSD.test or waller.test of the package agricolae that less
conservatives than tukey.
From: [EMAIL PROTECTED] on behalf of Frederic Jean
Sent: Fri 3/2/2007 4:52 PM
To: [EMAIL PROTECTED]
Subject: [R] significant anova but no distinct groups ?
