Hi Netzwerkerin, subset is a generic function and behaves different for different object classes.
txt<-" Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2 2 0.87 0.79 -0.57 1.07 3 0.67 -1.14 -0.78 -0.95 4 -0.46 -0.30 -0.36 1.14" red<-read.table(textConnection(txt)) #compare str(red[,2]) str(red[2,]) but if it comes to just counting values meeting some conditions, using "subset" is not needed at all. sum(red>.5) length(which(red>.5)) and the arr.ind option of which may be useful as well. hth Am 06.09.2011 16:10, schrieb netzwerkerin: > Hi guys, > > one of the questions where you need a real human instead of a search engine, > so it would be great if you could help. > > I have a matrix of z-scores which I would like to filter, sometimes > columnwise, sometimes rowwise. Data looks like this: > > Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2 > 2 0.87 0.79 -0.57 1.07 > 3 0.67 -1.14 -0.78 -0.95 > 4 -0.46 -0.30 -0.36 1.14 > > Now I want to find all elements which are below/above some threshold. Subset > works fine with the columns: > >> subset(red[,4], red[,4] > 0.5) > [1] 1.07 1.14 > > But not with the rows: > >> subset(red[2,], red[2,] > 0.5) > Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2 > 3 0.67 -1.14 -0.78 -0.95 > > If I try to find all values above 0.5 (any row, any column, I just need the > number of entries), this is what I try (and get): > >> subset(red[,], red[,] > 0.5) > Allstar hsa.let.7a hsa.let.7a.1 hsa.let.7a.2 > 2 0.87 0.79 -0.57 1.07 > 3 0.67 -1.14 -0.78 -0.95 > NA NA NA NA NA > NA.1 NA NA NA NA > NA.2 NA NA NA NA > > Obviously I'm doing something wrong, but what? > Help very much appreciated. > Netzwerkerin > > -- > View this message in context: > http://r.789695.n4.nabble.com/subsetting-tables-tp3793509p3793509.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. -- Eik Vettorazzi Department of Medical Biometry and Epidemiology University Medical Center Hamburg-Eppendorf Martinistr. 52 20246 Hamburg T ++49/40/7410-58243 F ++49/40/7410-57790 -- Pflichtangaben gemäß Gesetz über elektronische Handelsregister und Genossenschaftsregister sowie das Unternehmensregister (EHUG): Universitätsklinikum Hamburg-Eppendorf; Körperschaft des öffentlichen Rechts; Gerichtsstand: Hamburg Vorstandsmitglieder: Prof. Dr. Jörg F. Debatin (Vorsitzender), Dr. Alexander Kirstein, Joachim Prölß, Prof. Dr. Dr. Uwe Koch-Gromus ______________________________________________ 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.