Hi, I'll split the issues, and reply to the last one, first.
On Monday 07 February 2011, meik michalke wrote:
> > some.data <- data.frame(a=c("a","b","c","d"))
[...]
> > some.data$a
>
> [1] a b c d
> Levels: a b c d
>
> so "a" was converted to a factor. then open "some.data" in the editor
> component and change the type of column "a" from "factor" to "strings". now
>
> look at the object in the R console:
[...]
> > some.data$a
>
> [1] "1" "2" "3" "4"
> attr(,"levels")
> [1] "a" "b" "c" "d"
> attr(,".rk.invalid.fields")
> list()
>
> this is not really what i expect of the conversion to "string".
Indeed. Fixed.
> i was first
> surprised that the editor still shows factor levels
Yes, the idea was to support "value labels" on data types other than factors,
similar to e.g. SPSS. Think of likert-scales for a use case where data is
"numeric" (not in IRT, of course), but end-points are named. Of course, since
factor levels can only be assigned to consecutive integers, this does not work
too well. Perhaps a feature worth removing? What do you think?
> , and even though type
> says "string" you cannot remove those levels safely.
True. But that was just a side-effect of the conversion problem, above. I.e.
that should be fixed, too.
> in fact, this doesn't
> work in
>
> RKWard either:
> > some.data <- data.frame(a=c("a","b","c","d"), stringsAsFactors=FALSE)
[...]
> > some.data$a
>
> [1] "1" "2" "3" "4"
I could not reproduce this, and we really don't mess with data.frame() on this
level. Are you sure?
Regards
Thomas
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