It is a factor, thank you for pointing me in the right direction. Jacob
On Thu, Jan 13, 2011 at 11:12, Sarah Goslee <sarah.gos...@gmail.com> wrote: > Hi Jacob, > > You don't give us enough information to answer your question. Specifically, > what is your dataframe? > str(data) > would be helpful (and calling your data data is not usually wise). > > My guess is that Dags is actually a factor -- do you want it to be a > factor? -- > and so you are retaining all of the levels. You need to think about how you > are getting the data into R, whether you want a factor for that column, and > whether you should drop the unused levels. > > Reading the help for factor may be enlightening. > > Sarah > > On Thu, Jan 13, 2011 at 3:57 AM, Jacob Kasper <jacobkas...@gmail.com> > wrote: > > I am using subset to select the data I want to use for my analysis and > find > > that after I subset my data frame on one column I get ghost values in the > > other columns. here is an example: > > > >> table(data$Dags) > > > > 2008/04/12 2008/04/13 2008/04/16 2008/04/17 2008/04/19 > 2008/05/06 > > > > 103 140 82 187 179 212 > 68 > > > > 2008/05/07 2008/05/12 2008/05/15 2008/05/25 2008/05/28 2008/05/29 > 2009/04/17 > > > > 184 308 120 227 250 150 > 259 > > > > 2009/04/18 2009/04/20 2009/04/21 2009/05/04 2009/05/15 2009/06/09 > 2009/06/10 > > > > 246 241 252 153 366 225 > 79 > > > > 2009/06/24 2009/06/25 2009/06/26 2010/03/11 2010/04/27 2010/05/07 > 2010/05/08 > > > > 126 278 297 135 285 286 > 275 > > > > 2010/05/10 2010/05/11 2010/05/20 2010/05/21 2010/06/02 2010/07/20 > 2010/08/12 > > > > 290 22 259 291 381 20 > 648 > > > > 2010/08/16 2010/08/18 > > 11 2 > > > > > >> data10<-subset(data, data$Year==2010 & data$Recatpure1==1) > > > >> table(data10$Dags) > > > > 2008/04/12 2008/04/13 2008/04/16 2008/04/17 2008/04/19 > 2008/05/06 > > > > 0 0 0 0 0 0 > 0 > > > > 2008/05/07 2008/05/12 2008/05/15 2008/05/25 2008/05/28 2008/05/29 > 2009/04/17 > > > > 0 0 0 0 0 0 > 0 > > > > 2009/04/18 2009/04/20 2009/04/21 2009/05/04 2009/05/15 2009/06/09 > 2009/06/10 > > > > 0 0 0 0 0 0 > 0 > > > > 2009/06/24 2009/06/25 2009/06/26 2010/03/11 2010/04/27 2010/05/07 > 2010/05/08 > > > > 0 0 0 23 38 20 > 29 > > > > 2010/05/10 2010/05/11 2010/05/20 2010/05/21 2010/06/02 2010/07/20 > 2010/08/12 > > > > 18 1 15 45 38 1 > 5 > > > > 2010/08/16 2010/08/18 > > 0 0 > > How can I perform a subset so that these ghost values do not appear at > all > > in my new table? > > > > > -- > Sarah Goslee > http://www.functionaldiversity.org > [[alternative HTML version deleted]] ______________________________________________ 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.
