[R] removing NA values from data frame & identification function

[Faheem Mitha]

Dear people,

1) I have a data frame with named columns.For concreteness, let us say
that I created a data frame from the vectors fee, fi fo, fum by

giant.df <- cbind(fee, fi, fo, fum)

Now, some of the entries in fee, fi fo fum are NAs. I want to remove any
row which contains a NA, thus creating a new, smaller data frame, with the
same column names. This seems like something people would need to do all
the time, but I have been unable to think of a clean way to do it.

Actually, I'm trying to do this because step and stepAIC don't seem to
happy with handling glm objects constructed from data sets containing
NAs. It would be even cooler if this could be done at the level of
read.table, but I don't see a way to do this.

2) Is there a function to compare whether two objects are identical in
every respect?

Thanks for everyone's very valuable help on this list. I'm still a raw
beginner, but perhaps getting a little less raw...

                         Sincerely, Faheem Mitha.

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