read.table 2005-07-13 - By Gabor Grothendieck
You could use the nlines= argument to scan to read in a
portion at a time.
On 7/13/05, Weiwei Shi <helprhelp@(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 <helprhelp@(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
>
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