Hi r-help-boun...@r-project.org napsal dne 21.12.2010 11:02:07:
> Hello, > > I am trying to analyze sociological survey data using R. It is often > important in survey to calculate both the actual factor sums and > percentages (easily done with describe() ), but also the numbers and > total percentage of NA's. Often it is important to present NA's in > graphs besides the factors. > > Is there any easy way to make R treat NA's as if those were factors > besides other factors? > > Now, describe(data$a) gives me percentages only for the factors. So I > have to redo percentages manually. > > barplot() also ignores NA's. So, to include NA's into barplot I need > to do a table more or less manually. > > The other way to do it is to convert NA's into factors (doable, > although, unlike in SPSS, I cannot make an assumption that 99 is a not necessary to code missing values, you can set NA as one level. x<-factor(sample(c(1:3, NA),20,replace=T), exclude=NULL) x [1] 1 1 3 3 3 2 3 <NA> 3 1 2 <NA> 3 <NA> 2 [16] 2 3 1 <NA> 3 Levels: 1 2 3 <NA> > y<-rnorm(20) boxplot(split(y,x)) Besides you could find it from factor help page as I did. Regards Petr > good code for a factor "NA" – it has to be the next number in the > factor list,so, might be different for each column in a data frame). > And besides, I have read somewhere in this list that IT IS THE WRONG > WAY TO DO STUFF IN R :) > > Is there the right way to do things that I want, and if not – what are > the possible workarounds, smarter than the ones I listed? > > -- > Donatas Glodenis > > -- > Donatas Glodenis > > ______________________________________________ > 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. ______________________________________________ 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.
