This should do it: > v1 <- NA > v2 <- rnorm(6) > v3 <- rnorm(6) > v4 <- rnorm(6) > v5 <- rnorm(6) > v6 <- rnorm(6) > v7 <- rnorm(6) > v8 <- rnorm(6) > v8 <- NA > > list <- list(v1,v2,v3,v4,v5,v6,v7,v8) > categ <- c(NA,"cat1","cat1","cat1","cat2","cat2","cat2",NA) > > # create partitioned list > list.cat <- split(list, categ) > # combine each partition into a matrix > list.mat <- lapply(list.cat, function(x) do.call('rbind', x)) > # now take the means of each column > lapply(list.mat, colMeans) $cat1 [1] -0.5699080 0.3855693 1.1051809 0.2379324 0.6684713 0.3240003
$cat2 [1] 0.38160462 -0.10559496 -0.40963090 -0.09507354 0.95021406 -0.31491450 > On 7/30/07, Antje <[EMAIL PROTECTED]> wrote: > okay, I played a bit around and now I have some kind of testcase for you: > > v1 <- NA > v2 <- rnorm(6) > v3 <- rnorm(6) > v4 <- rnorm(6) > v5 <- rnorm(6) > v6 <- rnorm(6) > v7 <- rnorm(6) > v8 <- rnorm(6) > v8 <- NA > > list <- list(v1,v2,v3,v4,v5,v6,v7,v8) > categ <- c(NA,"cat1","cat1","cat1","cat2","cat2","cat2",NA) > > > list > [[1]] > [1] NA > > [[2]] > [1] -0.6442149 -0.2047012 -1.1986041 -0.2097442 -0.7343465 -1.3888750 > > [[3]] > [1] 0.02354036 -1.36186952 -0.42197792 1.50445971 -1.76763996 0.53722404 > > [[4]] > [1] -1.40362589 0.13045724 -0.84651458 1.57005071 0.06961015 0.25269771 > > [[5]] > [1] -1.1829260 2.1411553 -0.1327081 -0.1053442 -0.8179396 -1.2342698 > > [[6]] > [1] 1.17099178 0.49248118 -0.18690065 1.50050976 -0.65552410 -0.01243247 > > [[7]] > [1] -0.046778203 -0.233788840 0.443908897 -1.649740180 0.003991354 > -0.228020092 > > [[8]] > [1] NA > > now, I need the means (and sd) of element 1 of list[2],list[3],list[4] > (because they belong to "cat1") and > > = mean(-0.6442149, 0.02354036, -1.40362589) > > the same for element 2 up to element 6 (--> I would the get a vector > containing the means for "cat1") > the same for the vectors belonging to "cat2". > > does anybody now understand what I mean? > > Antje > > ______________________________________________ > 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? ______________________________________________ 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.