It is strange. Even in R itself T and F are not guaranteed to be TRUE
and FALSE.
> T <- 1:3
> T
[1] 1 2 3
On Sun, Feb 28, 2010 at 4:55 PM, Rolf Turner <r.tur...@auckland.ac.nz> wrote:
>
> I had occasion recently to read in a one-line *.csv file that
> looked like:
>
> "CandidateName","NSN","Ethnicity","dob","gender"
> "Smith, Mary Jane",111222333,"E","2/25/1989","F"
>
> That "F" (for female) in the last field got transformed to
> FALSE. Apparently read.csv (and hence read.table) are inferring
> that if the entries of a file are all F's and T's then the
> field is interpreted as logical.
>
> If I change the file to
>
> "CandidateName","NSN","Ethnicity","dob","gender"
> "Smith, Mary Jane",111222333,"E","2/25/1989","F"
> "Mingdinkler, Melvin Queue",999888777,"01/04/1942","M"
>
> then the read functions correctly interpret the last field
> as being character.
>
> The translation of "F" into FALSE resulted in some mysterious
> contretemps in further analysis, which it took me a while to
> track down.
>
> I solved the problem by putting in a colClasses argument in my
> call to read.csv(). But I really think that the read functions
> are being too clever by half here. If field entries are surrounded
> by quotes, shouldn't they be left as character? Even if they are
> all F's and T's?
>
> Furthermore using F's and T's to represent TRUE's and FALSE's is
> bad practice anyway. Since FALSE and TRUE are reserved words it
> would make sense for the read function to assume that a field is
> logical if it consists entirely of these words. But T's and F's
> .... I don't think so.
>
> I would argue that this behaviour should be changed. I can see no
> downside to such a change.
>
> cheers,
>
> Rolf Turner
>
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