a <- c(1, 8, 9, 10, 8)
a[which(a==8)] <- NA
Nikhil
On Apr 6, 2010, at 7:31 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!
Best wishes
David Foreman
Consultant and Visiting Professor in Child and Adolescent Psychiatry
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and provide commented, minimal, self-contained, reproducible code.
