[R] Using options(max.print = 1000000) to read in data

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Mon Jul 8 16:39:03 CEST 2019


Why did you not do as Kevin suggested??

Or, more simply, ?is.matrix
which could be found in ?matrix.

*Please* consult R's docs before posting such queries.


Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )


On Mon, Jul 8, 2019 at 7:27 AM Spencer Brackett <
spbrackett20 using saintjosephhs.com> wrote:

> Thank you,
>
> Here is a summary of the resulting output....
>
> >nrow(GBM.txt)
> [1] 20530
> > ncol(GBM.txt)
> [1] 173
>
> This corresponds with the info found in my global environment for the
> object indicated. Now, how do I go about determining if the dataset is a
> matrix?
>
>
> On Mon, Jul 8, 2019 at 10:16 AM Kevin Thorpe <kevin.thorpe using utoronto.ca>
> wrote:
>
> >
> > > On Jul 8, 2019, at 10:06 AM, Spencer Brackett <
> > spbrackett20 using saintjosephhs.com> wrote:
> > >
> > > Hello,
> > >
> > >  I am trying to reload some data into R in order to check to see if it
> is
> > > formatted as a matrix. I used the command options(max.print = 10000000)
> > to
> > > account for the 20,000 some rows omitted previously when just using the
> > > basic version of this function. After entering this command, the
> dataset
> > > mostly loaded into R, but 14717 rows were still omitted.
> > >
> > >  Can I simply increase the number indicted after 'max.print =' to read
> in
> > > the remaining rows, or should I use 'bigfile.sample <-' or
> > > 'bigfile.colclass <-' instead? Do I even need to read in all of the
> rows
> > to
> > > test for a matrix?
> > >
> > > Best,
> > >
> > > Spencer
> > >
> >
> > I don’t think this option affects how much data is read in, just how much
> > is printed to the screen. Use the function str() on your imported object
> to
> > see how many rows, among other things, were brought in.
> >
> >
> > >       [[alternative HTML version deleted]]
> > >
> > > ______________________________________________
> > > R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> > > 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.
> >
> >
> > --
> > Kevin E. Thorpe
> > Head of Biostatistics,  Applied Health Research Centre (AHRC)
> > Li Ka Shing Knowledge Institute of St. Michael's
> > Assistant Professor, Dalla Lana School of Public Health
> > University of Toronto
> > email: kevin.thorpe using utoronto.ca  Tel: 416.864.5776  Fax: 416.864.3016
> >
> >
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>

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