Hi > Dear List, > I like to assign names to vectors in a loop. > Here is a short example: > DMUs <- > as.data.frame(matrix(c("b","c","d","a","e","h","i","f","g","j","k","l"),ncol > =7, nrow=10)) > > colnames(DMUs) <- v_DMUs <- c("a","b","c","d","e","f","g") > > for (i in v_DMUs) > > assign(paste("eff_val",i,sep="."),abs(rnorm(10))) > > Now I like to find a solution for applying following operation in a loop for > all vectors eff_val.i (with i = a:g) and names in columns (columns i = a:g) > of dataframe DMUs. Perhaps there is a solution without loop, too?! > > names(eff_val.a) <- t(subset(DMUs, select="a")) > > I tried the following. But this results in an error-message! > > for (i in v_DMUs) > > names(paste("eff_val.",i,sep="")) <- t(subset(DMUs,select = > paste("",i,sep=""))) > > > I don't know how to beat this bastard ;-)
Pardon me that I do not solve your problem in suggested way. I am not sure what you really want to do but seems to me that keeping your values in list could be faR betteR way. #So i first made a vector from eff_val.x values vec<-NULL for (i in v_DMUs) vec<-c(vec,get(paste("eff_val.",i,sep=""))) #transform DMUs back to matrix mat<-as.matrix(DMUs) #got rid of dimensons dim(mat)<-NULL #put names from mat and values from vec alongside to data frame result<-data.frame(name=mat, num=vec) #split the result to those seven chunks split(result, rep(1:7, each=10) I am almost sure that it is not what you was about but I feel that you shall give it a thought. Lists are much more easier to handle with R then many variables with yy.xx.i names. Regards Petr > > Thanks for your support. > Henning > ______________________________________________ > 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.