flexible processing
Check out summaryBy in the doBy package:
library(doBy) summaryBy(. ~ fac1, data = df, FUN = c(sum, mean, sd))[c(1,2,5,7)]
fac1 par1.sum par2.mean par2.sd 1 group1 12.37374 25.5 14.57738 2 group2 37.62626 75.5 14.57738
summaryBy(. ~ fac2, data = df, FUN = c(sum, mean, sd))[c(1,2,5,7)]
fac2 par1.sum par2.mean par2.sd 1 group3 3.030303 13 7.3598 2 group4 9.343434 38 7.3598 3 group5 15.656566 63 7.3598 4 group6 21.969697 88 7.3598 If you don't mind a few extra columns you can omit the [c(...)] part.
On Oct 30, 2007 10:18 AM, Antje <niederlein-rstat at yahoo.de> wrote:
Hello,
unfortunately, I don't know a better subject. I would like to be very flexible
in how to process my data.
Assume the following dataset:
par1 <- seq(0,1,length.out = 100)
par2 <- seq(1,100)
fac1 <- factor(rep(c("group1", "group2"), each = 50))
fac2 <- factor(rep(c("group3", "group4", "group5", "group6"), each = 25))
df <- data.frame(par1, par2, fac1, fac2)
Now, I would like to calculate e.g. the "sum" for par1 grouping by "fac1" and
the "mean" and "sd" for par2 grouping by "fac1".
I would like to determine this method as a string.
In the end, I would like to have something like this:
fac1.analysis:
par1.sum par2.mean par2.sd
group1 xxx xxx xxx
group2 xxx xxx xxx
fac2.analysis:
...
Does anybody have any idea how to realize it?
Antje
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