Thanks for confirmation. My only fear was that if I use as.matrix(na.omit(dat)) to a dataframe like the one I shared, if I would face any data lose or change or not.
On Thu, 26 Jun 2025 at 07:53, Jeff Newmiller <jdnew...@dcn.davis.ca.us> wrote: > > Yes you can. Whether that will yield useful or misleading results depends > what analytical tools you intend to apply to the resulting matrix. > Categorical data in matrices tends to be kind of a dead end in my > experience... but ymmv. > > On June 25, 2025 5:23:47 PM PDT, Daniel Lobo <danielobo9...@gmail.com> wrote: > >My data frame looks like below > > > >dat = structure(list(a = c(66, 100, 100, 100, 100, 100, 100, 66, 100, > > > >66), b = c(100, 50, 100, 100, 100, 100, 100, 100, 100, 100), > > > > c = c(75, 25, 75, 50, 50, 50, 50, 50, 75, 25)), class = > >"data.frame", row.names = c(NA, > > > >-10L)) > > > >The values are basically categories for each column, however there may > >be missing values present, which typically represented as NA. > > > >My question is can I directly use as.matrix(na.omit(dat)) to convert > >this to matrix? > > > > > >On Thu, 26 Jun 2025 at 05:27, Rolf Turner <rolftur...@posteo.net> wrote: > >> > >> > >> On Thu, 26 Jun 2025 03:45:50 +0530 > >> Daniel Lobo <danielobo9...@gmail.com> wrote: > >> > >> > Hi, > >> > > >> > I have a dataframe for which all columns are numeric but categorical. > >> > >> I don't understand what that means. Perhaps an example? > >> > >> > There are some missing values as well > >> > > >> > Typically, I have CSV file saved in drive, and then read it using > >> > read.csv command > >> > >> Is that relevant? > >> > >> > Can I use as.matrix(na.omit(<<my dataframe loaded using read.csv>>)) > >> > to convert such dataframe to matrix? > >> > > >> > I there any data loss or change that may occur if I use as.matrix > >> > command? > >> > >> I think your question is too vague for anyone to be able to answer this. > >> > >> > I remember that some experts recommends not to use as.matrix() > >> > command to convert a dataframe to matrix. > >> > >> My guess is that the problem is that as.matrix() will coerce all of the > >> columns of a data frame to a common class, which might yield unexpected > >> results. > >> > >> > Any guidance will be very helpful. > >> > >> It's possible that data.matrix() might be useful. > >> > >> But basically you should think carefully about what the nature of the > >> entries of your data frame could possibly be, and then design your code > >> to accommodate all of these possibilities, throwing an error if any > >> entry does not conform to any of the possibilities that you envisage. > >> > >> cheers, > >> > >> Rolf Turner > >> > >> -- > >> Honorary Research Fellow > >> Department of Statistics > >> University of Auckland > >> Stats. Dep't. (secretaries) phone: > >> +64-9-373-7599 ext. 89622 > >> Home phone: +64-9-480-4619 > >> > >> ______________________________________________ > >> 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 > >> https://www.R-project.org/posting-guide.html > >> and provide commented, minimal, self-contained, reproducible code. > > > >______________________________________________ > >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 https://www.R-project.org/posting-guide.html > >and provide commented, minimal, self-contained, reproducible code. > > -- > Sent from my phone. Please excuse my brevity. ______________________________________________ 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 https://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
