Does this do what you want? > x <- " vara varb S PC + 1 None 250 1 80 + 2 None 250 1 70 + 3 Some 250 1 60 + 4 Some 250 1 70 + 5 None 1000 1 90 + 6 None 1000 1 90 + 7 Some 1000 1 80 + 8 Some 1000 1 70 + 9 None 250 2 100 + 10 None 250 2 80 + 11 Some 250 2 70 + 12 Some 250 2 70 + 13 None 1000 2 100 + 14 None 1000 2 90 + 15 Some 1000 2 50 + 16 Some 1000 2 40" > x.in <- read.table(textConnection(x), header=TRUE) > (x.agg <- aggregate(x.in$PC, list(vara=x.in$vara, varb=x.in$varb, S= x.in$S), mean)) vara varb S x 1 None 250 1 75 2 Some 250 1 65 3 None 1000 1 90 4 Some 1000 1 75 5 None 250 2 90 6 Some 250 2 70 7 None 1000 2 95 8 Some 1000 2 45
On 3/15/07, Christopher Brown <[EMAIL PROTECTED]> wrote: > > Hi, > > I have a data set that looks like this: > > > data > vara varb S PC > 1 None 250 1 80 > 2 None 250 1 70 > 3 Some 250 1 60 > 4 Some 250 1 70 > 5 None 1000 1 90 > 6 None 1000 1 90 > 7 Some 1000 1 80 > 8 Some 1000 1 70 > 9 None 250 2 100 > 10 None 250 2 80 > 11 Some 250 2 70 > 12 Some 250 2 70 > 13 None 1000 2 100 > 14 None 1000 2 90 > 15 Some 1000 2 50 > 16 Some 1000 2 40 > > ... > > And so on. The last column is the dependent variable, and I have made > the other columns factors. As you can see, there are multiple scores for > each subject in each combination of conditions. How can I reduce the > dataset so that there is only 1 score per subject, per condition, for > further analysis? I can use tapply to get means, but I need a data.frame > for analysis (aov). Any ideas? > > -- > Chris > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
