Dear Sarah, thankyou very much it worked... what if i want traditional distance matrices instead of distance column vectors?? i hope i'm not bothering you... thanks in advance eliza
> Date: Tue, 11 Dec 2012 09:57:37 -0500 > Subject: Re: [R] converting manual command to loop command > From: sarah.gos...@gmail.com > To: eliza_bo...@hotmail.com > CC: r-help@r-project.org > > Does this solve your problem: > > fakedata <- matrix(runif(100), ncol=10) > fakedata.dist <- apply(fakedata, 2, function(x)as.vector(dist(x, > upper=TRUE, diag=TRUE))) > > > The columns of the resulting matrix contain the distance vectors. > > Sarah > > On Tue, Dec 11, 2012 at 9:45 AM, eliza botto <eliza_bo...@hotmail.com> wrote: > > > > Dear useRs, > > i have certain commands for some operations in R. They are good if you have > > a small dataset but my dataset, apart from what i used in the recent past, > > is prety large. I want to convert these massive sets of commands into a > > simple loop. > > Your help is required on it > > thanks in advance > > eliza > > kindly note: > > "e" is matrix whose each column has to be executed into a distance vector > > > > ##To get a distance matrix > > > >>a<-dist(e[,1], upper=TRUE, diag=TRUE) > > > > ##To convert it in a matrix > > > >>a<-matrix(a, ncol=1) > > > >>b<-dist(e[,2], upper=TRUE, diag=TRUE) > > > >>b<-matrix(b, ncol=1) > > > >>c<-dist(e[,3], upper=TRUE, diag=TRUE) > > > >>c<-matrix(c, ncol=1) > > > >>d<-dist(e[,4], upper=TRUE, diag=TRUE) > > > >>d<-matrix(d, ncol=1) > > > >>ee<-dist(e[,5], upper=TRUE, diag=TRUE) > > > >>ee<-matrix(ee, ncol=1) > > > >>f<-dist(e[, 6], upper=TRUE, diag=TRUE) > > > >>f<-matrix(f, ncol=1) > > > >>g<-dist(e[, 7], upper=TRUE, diag=TRUE) > > > >>g<-matrix(g, ncol=1) > > > >>h<-dist(e[, 8], upper=TRUE, diag=TRUE) > > > >>h<-matrix(h, ncol=1) > > > > > -- > Sarah Goslee > http://www.functionaldiversity.org [[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.
