On Apr 6, 2010, at 6:31 AM, David Foreman wrote: > Dear All, > > I seem entirely unable to solve what should be a very simple problem. I > have imported a SPSS dataset into R using spss.get from Frank Harrell's > Hmisc library. The variables are imported classed as 'labelled': missing > values are coded as either the SPSS missing value code, 8 or 88. All are > imported correctly; 8 and 88 being identified as true numbers in the > 'summary' command, which treats them (correctly) as numeric. For some > reason, is.na(x)<-c(8,88) doesn't seem to work. No error message is > returned, but the 8 and 88 are not set as NA. The example given in the help > file does work, so is.na<- is functioning in my copy of R (2.10.1). I've > tried working outside the dataframe, using unclass, as.numeric, and class<- > entirely without success. The variable structure(exemplified by one > variable) is > > Class 'labelled' atomic [1:827] 2 2 2 2 2 2 8 NA 2 2 ... > ..- attr(*, "label")= Named chr "In the last yr, you were unfairly treated > because of your sex" > .. ..- attr(*, "names")= chr "c25a" > > All suggestions are gratefully received!
Note the description of the 'value' argument when using is.na(x) for assignment: value a suitable index vector for use with x. x <- c(2, 2, 2, 2, 2, 2, 8, NA, 2, 2, 88) is.na(x) <- x %in% c(8, 88) > x [1] 2 2 2 2 2 2 NA NA 2 2 NA The RHS needs to be a logical returning the indices in the vector to change to NA: > x %in% c(8, 88) [1] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE Also see ?"%in%" HTH, Marc Schwartz ______________________________________________ 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.
