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

[Spencer Brackett]

So even though a number of rows were omitted  during the ‘print in’ or
visualization of the dataset into my console, the data frame is now set as
a matrix? I believe so, per Mr. Barradas’s last email. Sorry for the
confusion, I was expecting the whole dataset to load into my console and
was concerned that perhaps if I had to set the data in the data frame as a
matrix (if not already), then I would not achieve this result.

Thanks,

Spencer

On Tue, Jul 9, 2019 at 6:21 AM Michael Friendly <friendly using yorku.ca> wrote:

> Why do you need it to be a matrix? A data.frame is like a matrix, but
> allows columns of mixed types.
>
> as.matrix() will coerce your data frame to a matrix if you really need
> this.
>
> On 7/08/19 4:43 p.m., Spencer Brackett wrote:
> > Using str(GBM.txt) produced the same output as last time, which lists the
> > number of objects acting on a particular number of variables for the said
> > dataset and a few rows read from the original file.
> >
> > The result of class(GBM.txt) generates the following..
> >
> >> class(GBM.txt)
> > [1] "data.frame"
> >
> > Is this to say that the object is set as a 'data frame', opposed to a
> > 'matrix' ?
> >
> > I will try running ?is.matrix now
> >
> >
> >
> > On Mon, Jul 8, 2019 at 10:33 AM Rui Barradas <ruipbarradas using sapo.pt>
> wrote:
> >
> >> Hello,
> >>
> >> Inline.
> >>
> >> Às 15:26 de 08/07/19, Spencer Brackett escreveu:
> >>> 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?
> >>
> >> Try any of
> >>
> >> str(GBM.txt)
> >> class(GBM.txt)
> >>
> >> Also, like Kevin said, max.print only affects how much is printed, not
> >> the read functions. Why change max.print at all? The default value
> >> (1000) is large enough, I have never needed to see more than this at a
> >> time. In fact, to have an idea of the data I would rather further limit
> >> the number of matrix lines printed with
> >>
> >> head(object)
> >> tail(object)
> >>
> >>
> >>
> >> Hope this helps,
> >>
> >> Rui Barradas
> >>>
> >>>
> >>> 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.
> >>>
> >>
> >
> >       [[alternative HTML version deleted]]
> >
>
>

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