Thanks, this comes close to what I need, but the problem is that I have
repeated measures in each comparison and SimComp does not seem to handle
this. In my experiments, each subject received both placebo and the drug in
a randomized order. So, I want to do multiple paired t-test corrected for
Johannes Huesing johan...@huesing.name wrote:
Couldn't you re-phrase your model by including timepoint as a continuous
regressor and scale as a factor?
Well, the measuring time points are 70 170, 300 and 1440 minutes after drug
intake. Since the influence of time is cerainly not linear, I
Hi Erich,
Look at the SimComp package, which handles multiple endpoints, i.e. columns
of response variables. Ratio-comparisons are also handled. Good ready-made
range of comparisons; you can also set up your own.
Regards, Mark.
Erich Studerus wrote:
Johannes Huesing johan...@huesing.name
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 + (UTC)
Dieter Menne dieter.me...@menne-biomed.de wrote:
Erich Studerus erich.studerus
Erich Studerus, Psychiatrische Uni-Klinik erich.stude...@bli.uzh.ch [Sat, Feb
28, 2009 at 09:23:05PM CET]:
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.
Couldn't you re-phrase your
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
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