The explanation is that this is normal and consistent with behavior of factors
in general. If you don't want that, it is common to work with character data
instead of factors, only converting to factor when needed. In most cases I
invoke read.table with the as.is=TRUE argument and delay converting to factors
until I need them. Other people convert from factor to character and back to
factor to get rid of unwanted factor levels on an as-needed basis.
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Rich Shepard <rshep...@appl-ecosys.com> wrote:
>On Wed, 8 Aug 2012, arun wrote:
>
>> The param factor has 54 levels. So, I guess the combinations that are
>not
>> present will record as NA.
>
> I noticed that but have not found an explanation.
>
> I'll work with the base data frame.
>
>Thanks,
>
>Rich
>
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