Hallo
Seems to me that you can make a summary table using
aggregate(RESPONSE, list(TREATMENT, MEASUREMENT, BLOCK, STUDY), mean)
and then if you want you can use reshape function or melt/cast function
from reshape package to get wide form of your table.
Regards
Petr Pikal
petr.pikal at precheza.cz
r-help-bounces at stat.math.ethz.ch napsal dne 10.04.2007 00:14:15:
> Hi,
>
> I have a summary table for an experiment that looks like this
>
> STUDY BLOCK TREATMENT MEASURMENT RESPONSE
> A 1 T-0 1 12
> A 1 T-1 1 52
> A 1 T-0 2 12
> A 1 T-1 2 65
>
> and so on...
>
> there are 10 studies, 4 blocks, 10 treatemnts, 5 measurments for
> the response value.
>
> I want to produce a table that looks like this:
>
> STUDY BLOCK TREATMENT MEAS.1 MEAS.2 MEAS.3
> A 1 T-1 15 54 65
> A 1 T-2 54 65 45
> A 2 T-1 12 12 23
> A 2 T-2 65 54 65
>
> and so on...
>
> with tapply(RESPONSE, list(TREATMENT, MEASUREMENT, BLOCK, STUDY), mean)
>
> I get very close, however, I get the results as a list!
>
> if instead I use
>
> ftable(tapply(RESPONSE, list(TREATMENT, MEASUREMENT, BLOCK, STUDY),
mean))>
> I get REALLY close, but the I get only one value for each class, however
I> need to whole table, because at the end, what I really need is the
> increment between MEASUREMENT (n) - Measurement (n-1) for each
TREATMENT,> BLOCK, STUDY, to perform a ANOVA analysis over increment data.
>
> Esentialy, I want to move away from running a pivot-table in ACCESS
>
> Any thoughts?
>
> Cristian Montes
> North Carolina State University
>
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