Thank you! This is exactly what I was looking for! Cheers!
On Wed, Feb 12, 2020 at 11:29 PM Jim Lemon <drjimle...@gmail.com> wrote: > > Hi Stefan, > How about this: > > sddf<-read.table(text="age x > 45 1 > 45 2 > 46 1 > 47 3 > 47 3", > header=TRUE) > library(prettyR) > sdtab<-xtab(age~x,sddf) > sdtab$counts > > Jim > > On Thu, Feb 13, 2020 at 7:40 AM stefan.d...@gmail.com > <stefan.d...@gmail.com> wrote: > > > > Dear All, > > > > I have a seemingly standard problem to which I somehow I do not find > > a simple solution. I have individual level data where x is a > > categorical variable with 3 categories which I would like to aggregate > > by age. > > > > age x > > 45 1 > > 45 2 > > 46 1 > > 47 3 > > 47 3 > > and so on. > > > > It should after transformation look like that > > > > age x_1 x_2 x_3 > > 45 1 0 1 > > 46 1 0 0 > > 47 0 0 2 > > > > Basically to calculate prevalences by age categories. > > > > Thanks for any pointers! > > > > Cheers! > > > > ______________________________________________ > > 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. ______________________________________________ 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.