Almost certainly ok here -- I have just seen too many instances where the non-standard evaluation of subset() tripped someone up in a programming context and figured it was better to get going in the `[` direction now rather than introducing subset() into the OP's workflow.
Best, Michael On Thu, Jan 12, 2012 at 10:38 PM, Marc Schwartz <marc_schwa...@me.com> wrote: > Presuming that 'DF' is the data frame, I am not sure what is wrong with > > NewDF <- subset(DF, (age >= 20) & (age <= 30)) > > presuming that 20 and 30 are to be included. > > ? > > Marc Schwartz > > On Jan 12, 2012, at 9:26 PM, R. Michael Weylandt wrote: > >> You can probably do it more easily with the subset() function but in >> my experience that often leads to more problems than solutions: >> perhaps try this. >> >> idx <- with(DATA, which(age > 20 & age < 30)) >> DATA[idx, ] >> >> Michael >> >> On Thu, Jan 12, 2012 at 5:25 PM, manu79 <manuelespin...@hotmail.it> wrote: >>> Hello, >>> I have a big dataset with many variables and I would like to consider only >>> the rows in which there is a specific value of a variable. >>> >>> I make an example for explain what I mean: >>> I have 5 variables describing a person: age, sex, weight, colour of hair, >>> colour of eyes. >>> I have 1000 rows (1000 persons) and I want to consider only the persons >>> whose age is between 20 to 30. How can I do? >>> >>> Thank you very much >>> M. > ______________________________________________ R-help@r-project.org mailing list 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.
