Try reading it into and transposing the matrix afterwards. Don't know if that would work but its worth a try. Actually if you are having problems read it into a vector, check that its of the required size, just in case, and then turn it into a matrix and transpose it.
On 7/13/05, Weiwei Shi <[EMAIL PROTECTED]> wrote: > there is another problem since last time i forgot "byrow" :( > > trn<-matrix(scan('train1.dat', sep='|', na.string='.'), nrow=273529, > > ncol=195, byrow=T) > Read 53338155 items > Error: cannot allocate vector of size 416704 Kb > > please help with this 'simple' reading task. > > weiwei > > On 7/13/05, Weiwei Shi <[EMAIL PROTECTED]> wrote: > > that sort of works for my purpose. > > > > btw, is there a bettter way to get data.frame by passing around > > matrix(). Since I could not find data.frame() with nrow or ncol > > arguments. so i have to use matrix first and then as.data.frame to > > convert it. > > > > is there any other (better) way? > > > > weiwei > > > > On 7/13/05, Gabor Grothendieck <[EMAIL PROTECTED]> wrote: > > > > > > You could use the nlines= argument to scan to read in a > > > portion at a time. > > > > > > > > > > > > On 7/13/05, Weiwei Shi <[EMAIL PROTECTED]> wrote: > > > > > > > > add: > > > > I used > > > > trn<-matrix(scan('train1.dat', sep='|', na.string='.'), nrow=273529, > > > ncol=195) > > > > > > > > it is done. > > > > so it seems that I just have no patience to wait for half an hour :) > > > > > > > > but i still have that question: > > > > is there a way to track the process if it takes too long. Could we > > > > stop in the middle to see at which line it "hesitates" to move on? > > > > > > > > regards, > > > > > > > > weiwei > > > > > > > > > > > > On 7/13/05, Weiwei Shi <[EMAIL PROTECTED]> wrote: > > > > > Hi, > > > > > I have a question on read.table. > > > > > > > > > > I have a dataset with 273,000 lines and 195 columns. I used the > > > > > read.table to load the data into R: > > > > > trn<-read.table('train1.dat', header=F, sep='|', na.strings='.') > > > > > I found it takes forever. > > > > > > > > > > then I run 1/10 of the data (test) using read.table again. And this > > > > > time it finished quickly. So, there might be something wrong in my > > > > > data format causing that problem. > > > > > > > > > > then, my question is, is there a way in R to track at which line, > > > > > something wrong occurs? > > > > > > > > > > Thanks, > > > > > > > > > > Weiwei > > > > > > > > > > > > > > > -- > > > > > Weiwei Shi, Ph.D > > > > > > > > > > "Did you always know?" > > > > > "No, I did not. But I believed..." > > > > > ---Matrix III > > > > > > > > > > > > > > > > > -- > > > > Weiwei Shi, Ph.D > > > > > > > > "Did you always know?" > > > > "No, I did not. But I believed..." > > > > ---Matrix III > > > > > > > > ______________________________________________ > > > > R-help@stat.math.ethz.ch mailing list > > > > https://stat.ethz.ch/mailman/listinfo/r-help > > > > PLEASE do read the posting guide! > > > http://www.R-project.org/posting-guide.html > > > > > > > > > > > > > > > > -- > > Weiwei Shi, Ph.D > > > > "Did you always know?" > > "No, I did not. But I believed..." > > ---Matrix III > > > > > -- > Weiwei Shi, Ph.D > > "Did you always know?" > "No, I did not. But I believed..." > ---Matrix III > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html