Hi If I really wanted aggregate all numerics by all non numerics this is how I would do it
my.numerics <- which(sapply(zeta, is.numeric)) my.factor <- which(sapply(zeta, is.factor)) aggregate(zeta[, my.numerics], zeta[, my.factor], mean) Regards Petr r-help-boun...@r-project.org napsal dne 18.01.2010 16:33:17: > I didn't understand from the help what really does the function rowMeans > but it looks like it doesn't take into account the categorical variables > (I want to calculate the means when the values of all categorical > variables are the same, second part of aggregate). Moreover, ssfa_num > contains only numeric variables, meaning that the categories will not be > associated with it. > I'm kind of confused with this approach. > You think it would work for me? > > Thanks > Ivan > > b k a écrit : > > > > > > On Mon, Jan 18, 2010 at 10:17 AM, Ivan Calandra > > <ivan.calan...@uni-hamburg.de <mailto:ivan.calan...@uni-hamburg.de>> > > wrote: > > > > Thanks for your answer, but it doesn't work... > > > > Here is what I get: > > > ssfamean <- aggregate(ssfa[[10:24]],ssfa[c("SPECSHOR", "BONE", > > "TO_POS", "FACETTE", "SHEARFAC", "ENA_BA")],mean) > > Error in .subset2(x, i, exact = exact) : > > recursive indexing failed at level 2 > > > > > > Wouldn't you be better off with rowMeans() ? Split your dataframe into > > numeric matrix: > > > > ssfa_num <- ssfa[10:24] > > > > ssfameans <- rowMeans(ssfa_num) > > > > > > Also col_index <- match("Asfc", ssfa) doesn't really work since > > col_index is composed of 1227 NAs... > > > > > > > > > > > > Yes, it should be: > > > > col_index <- match("Asfc", names(ssfa)) > > > > Ben > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org 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. ______________________________________________ R-help@r-project.org 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.
