Say we have a tab delimited file called bug.txt
Part Rep Cage Hb pupae
1 1 S 32
1 M 34
L 42
2 S 36
M 28
L 36
read.delim("bug.txt")
Part Rep Cage Hb.pupae
1 1 1 S 32
2 NA 1 M 34
3 NA NA L 42
4 NA NA NA
5 NA NA NA
6 NA 2 S 36
7 NA NA M 28
8 NA NA L 36
>
Variations on read.table give the same result.
When I first used read.table in Splus, I liked the way it ignored rows
that were empty (at least when using sep = "\t"). A line was
considerend empty if it contained only tab characters, so the rows of
NAs or ""s are omitted, so that rows 4 and 5 above would be deleted.
R's read.table differs in this respect (and a number of really neat
ones). I probably know enough Perl to be able to write a short script
that could delete such lines, and it's not difficult to remove the
rows from the dataframe afterwards; but maybe there's something simple
I've misunderstood in the use of R's read.table.
I can't use na.omit since the other NAs in the data can be dealt with
so I don't want them removed. Other suggestions welcome.
Thanks
--
Patrick Connolly
HortResearch
Mt Albert
Auckland
New Zealand
Ph: +64-9 815 4200 x 7188
~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~
I have the world`s largest collection of seashells. I keep it on all
the beaches of the world ... Perhaps you`ve seen it. ---Steven Wright
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