What is it that you want to do? The 'scan' statement give you a list of length 7000 with 19 entries each. Do you want to create a matrix that has 7000 rows by 19 columns? If so, then you just have to take the output of the 'scan' and do:
x.matrix <- do.call('rbind', x) # gives 7000 x 19 matrix. So I am still not sure exactly what your input is and what you want to do with it. On 10/21/07, Tomas Vaisar <[EMAIL PROTECTED]> wrote: > Hi Jim, > > thanks a lot. It works, however - my other problem is that I need to > transpose the original table before reading it into the list because the > data come from Excel and it can't handle 7000 columns. I could read it > in R transpose end write into a new tab delim file and then read it back > in, but I would think that there might be a way in R to do both. > Would you know about the way? > > Tomas > > jim holtman wrote: > > another choice is: > > > > x <- scan('temp.txt', what=c(rep(list(0), 19))) > > > > On 10/20/07, Tomas Vaisar <[EMAIL PROTECTED]> wrote: > > > >> Hi, > >> > >> I am new to R and need to read in a file with 19 columns and 7000 rows > >> and make it into a list of 7000 lists with 19 items each. For a > >> simpler case of 10 by 10 table I used x <-scan("file", > >> list(0,0,0,0,0,0,0,0,0,0)), perhaps clumsy, but it did the job. > >> However with the large 19x7000 (which needs to be transposed) I am not > >> sure how to go about it. > >> > >> Coudl somebody suggest a way? > >> > >> Thanks, > >> > >> Tomas > >> > >> ______________________________________________ > >> 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. > >> > >> > > > > > > > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem you are trying to solve? ______________________________________________ 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.