[R] adding bmp/jpg/gif to an existing plot

Hi, all. I searched a lot at mailing list, installed EBImage and gtk packages, but I couldn't make this simple work: How to add a image file (jpg or bmp ou gif) to an existing plot window (not plot over the image), like the code below (pseudo function add.image): plot(1:10,1:10,main=test)

[R] adding bmp/jpg/gif to an existing plot

Hi, all. I searched a lot at mailing list, installed EBImage and gtk packages, but I couldn't make this simple work: How to add a image file (jpg or bmp ou gif) to an existing plot window (not plot over the image), like the code below (pseudo function add.image): plot(1:10,1:10,main=test) image =

Re: [R] (performance) time in Windows vs Linux

The test is only an example. The data is an example too. The difference is not the problem, I think, because we can make the data larger and the difference will grow. In my system, the original test points to Windows having the best time, and points to difference larger than 10% between linux

Re: [R] (performance) time in Windows vs Linux

vs Linux Para: Cézar Freitas cafanselm...@yahoo.com.br Data: Segunda-feira, 29 de Junho de 2009, 5:53 Hi Cezar, I tried your code in a core duo laptop (@2.5Gz) with ubuntu x86_64 with 4GB of RAM. Both R and libraries are compiled from source. These are the results.    user  system elapsed

Re: [R] (performance) time in Windows vs Linux

--- Em seg, 29/6/09, I. Soumpasis nono@gmail.com escreveu: De: I. Soumpasis nono@gmail.com Assunto: Re: [R] (performance) time in Windows vs Linux Para: Cézar Freitas cafanselm...@yahoo.com.br Data: Segunda-feira, 29 de Junho de 2009, 5:53 Hi Cezar, I tried your code in a core duo

[R] (performance) time in Windows vs Linux

Hi, all. I began to migrate my R codes from Windows to Linux and surprised me with an old question. I simplified the problem and made a little test to compare times at same computer and the Linux time is worse (not so little) than Windows time: 28 vs 53 seconds. I make an example (below) to

[R] [solutions] tapply versus by in function with more than 1 arguments

Thanks to all. I summarized (in order to thank the list) the solutions to help future workers searching subjects like this at R help.   # Number of rows nr = 10 # Data set dataf = as.data.frame(matrix(c(rnorm(nr),rnorm(nr)*2,runif(nr),sort(c(1,1,2,2,3,3,sample(1:3,nr-6,replace=TRUE,ncol=4))

[R] tapply versus by in function with more than 1 arguments

Hi. I searched the list and didn't found nothing similar to this. I simplified my example like below: #I need calculate correlation (for example) between 2 columns classified by a third one at a data.frame, like below: #number of rows nr = 10 #the third column is to enforce that I need