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

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