You have several options in R.
1) cast from the reshape package
cast(Factor1 + Factor2 ~ . , data = your.data.frame, value = "Value",
fun = mean)
2) ddply from the plyr package
ddply(your.data.frame, c("Factor1", "Factor2"),
function(x){mean(x$Value)})
HTH,
Thierry
------------------------------------------------------------------------
----
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek
team Biometrie & Kwaliteitszorg
Gaverstraat 4
9500 Geraardsbergen
Belgium
Research Institute for Nature and Forest
team Biometrics & Quality Assurance
Gaverstraat 4
9500 Geraardsbergen
Belgium
tel. + 32 54/436 185
thierry.onkel...@inbo.be
www.inbo.be
To call in the statistician after the experiment is done may be no more
than asking him to perform a post-mortem examination: he may be able to
say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does not
ensure that a reasonable answer can be extracted from a given body of
data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org]
Namens Ivan Calandra
Verzonden: maandag 7 december 2009 11:25
Aan: r-help@r-project.org
Onderwerp: [R] column statistics
Hi everybody,
I would like to compute the mean for 1 variable between the rows with
the same levels.
For example, with the dataset below:
Factor1 Factor2 Value
A X 1
A X 2
A Y 3
A Y 4
B X 5
B X 6
B Y 7
B Y 8
I would like to get:
Factor1 Factor2 Value
A X 1.5
A Y 3.5
B X 5.5
B Y 7.5
Up to now, I worked in Statistica and Systat, and it was called "column
statistics" in Statistica (and I had a script with the "BY" function in
Systat).
Of course it is a simplified case. For my dataset I have 4 factors and
15 variables, so a general method would be nice. However, my skills are
not that great, so if you could please give some explanations (I mean
other than what is in the ?function of course).
Thanks a lot in advance
Ivan
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