On Tue, Oct 25, 2011 at 4:49 PM, Nordlund, Dan (DSHS/RDA) <nord...@dshs.wa.gov> wrote: >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r- >> project.org] On Behalf Of Sarah Goslee >> Sent: Tuesday, October 25, 2011 12:50 PM >> To: Andrés Aragón >> Cc: R-help@r-project.org >> Subject: Re: [R] extract data for specific levels factor >> >> Hi, >> >> 2011/10/25 Andrés Aragón <armand...@gmail.com>: >> > Dear all, >> > >> > I'm trying to analyze data with the following structure: >> > >> > ind cat tx age >> > 40.2 por fol peq vh 35 >> > 41.9 por fol med vh 35 >> > 68.9 por fol preov vh 35 >> > 71.5 por fol peq ser 37 >> > 67.5 por fol med ser 37 >> > 76.9 por fol preov ser 37 >> > 78.7 por fol peq otr 37 >> > 78.3 por fol med otr 37 >> > 82.1 por fol preov otr 37 >> > 83.9 por fol peq vh 37 >> > 80.6 por fol med vh 37 >> > 76.1 por fol preov vh 37 >> > 86.9 por fol peq ser 35 >> > 97.7 por fol med ser 35 >> > 62.3 por fol preov ser 35 >> > >> > >> > >> > I want to separate exclusively some of factor levels (“por fol peq” >> > in the “cat” colum). I am using ggplot2 and I only can plot all of >> > factors, not separately. I did try ddply without success. >> > Any help is welcome. >> >> This kind of question is *so* much easier to answer if you provide >> reproducible data with dput(). This is untested because of lack of >> data, but what about >> >> newdata <- origdata[origdata$cat %in% c("por", "fol", "peq"),] >> >> Depending on the effect you want, you may also wish to drop the >> unused levels or reorder the levels using factor(). >> >> Sarah >> > > Or, if I have guessed correctly, something like this will work > > newdata<- origdata[origdata$cat == 'por fol peq',]
I think you're right, Dan - I misinterpreted the data. Another argument for dput()! -- Sarah Goslee http://www.functionaldiversity.org ______________________________________________ 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.
