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 < spbracket...@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.tho...@utoronto.ca> > wrote: > > > > > > On Jul 8, 2019, at 10:06 AM, Spencer Brackett < > > spbracket...@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@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.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016 > > > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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]] ______________________________________________ R-help@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.
