You continue to labor under false conceptions, starting with your subject line indicating that you should be able to *see* your huge data set in the R console. Take a pause, have a coffee or tea and re-read the helpful advice various people have tried to offer before continuing this thread.
-Michael On 7/09/19 2:44 p.m., Spencer Brackett wrote: > 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 <frien...@yorku.ca > <mailto:frien...@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 > <ruipbarra...@sapo.pt <mailto:ruipbarra...@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.tho...@utoronto.ca <mailto:kevin.tho...@utoronto.ca>> > >>> wrote: > >>> > >>>> > >>>>> On Jul 8, 2019, at 10:06 AM, Spencer Brackett < > >>>> spbracket...@saintjosephhs.com > <mailto: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 <mailto: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 > <mailto:kevin.tho...@utoronto.ca> Tel: 416.864.5776 Fax: 416.864.3016 > >>>> > >>>> > >>> > >>> [[alternative HTML version deleted]] > >>> > >>> ______________________________________________ > >>> R-help@r-project.org <mailto: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]] > > > -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. & Chair, ASA Statistical Graphics Section York University Voice: 416 736-2100 x66249 Fax: 416 736-5814 4700 Keele Street Web: http://www.datavis.ca Twitter: @datavisFriendly Toronto, ONT M3J 1P3 CANADA [[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.
