My apologies! I made this much to complicated and allowed myself to become confused with the straightforward advice given. I tried running the lines Mr. Barradas suggested after receiving the output for as.matrix() and I understand now. Thank you all again for your patience.
Best, Spencer On Tue, Jul 9, 2019 at 9:48 AM Michael Friendly <frien...@yorku.ca> wrote: > 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> 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> >> 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> >> >>> 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]] >> > >> >> > -- > 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.
