I think you might find, like me, that working with your data in character string form until you get it qc'd will be much easier to analyze. --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<[email protected]> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k --------------------------------------------------------------------------- Sent from my phone. Please excuse my brevity.
andrewH <[email protected]> wrote: Thanks Jeff! I appreciate you sharing your experience. My data set is survey data, 13,209 records over nine years, collected by someone else, converted from SPSS format. It includes missing values, identified however SPSS does so, and translated to NAs by the import process. It also includes values along the lines of "none of your business" or "beats me" that are missing so far as I am concerned. I have assigned NAs to these values. Now I am trying to figure out some things about where these missing values are -- whether they are disproportionately located in any period or group. I have been trying to get counts for subsets, but I have not been able to make the subset counts add up to the total counts that I get from, e.g. summary. So I wrote these simplified versions, and even for the simplest examples, I could not find a function that correctly identified the NAs that I knew were there because I put them there myself. That is why I am looking for help. Does this make sense? Warmest regards, andrewH -- View this message in context: http://r.789695.n4.nabble.com/Consistant-test-for-NAs-in-a-factor-when-exclude-NULL-tp3942755p3943157.html Sent from the R help mailing list archive at Nabble.com. _____________________________________________ [email protected] 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. [[alternative HTML version deleted]] ______________________________________________ [email protected] 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.
