Thanks, but as far as I know the multcomp package and the tukeyHSD function
can only handle one dependent variable, whereas I have 60 dependent
variables.
Regards,
Erich
On Sat, 28 Feb 2009 17:41:11 +0000 (UTC)
Dieter Menne <dieter.me...@menne-biomed.de> wrote:
Erich Studerus <erich.studerus <at> bli.uzh.ch> writes:
Dear R-users,
In a randomized placebo-controlled within-subject design, subjects
recieved
a psycho-active drug and placebo. Subjects filled out a questionnaire
containing 15 scales on four different time points after drug
administration. In order to detect drug effects on each time point, I
compared scale values between placebo and drug for all time conditions and
scales, which sums up to 4*15=60 comparisons.
....
Now, I want to adjust the confidence intervals for multiple comparisons.
For simple cases, see p.adjust or TukeyHSD (more limited).
For complex cases, see simint and friends in package multcomp.
Dieter
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