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! Best wishes David Foreman Consultant and Visiting Professor in Child and Adolescent Psychiatry [[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.