[R] extracting non-NA columns from a data frame

[Barber, Eric]

I'm clustering using kmeans, and it doesn't accept NA. if NA occurs in a
column of the data frame, it occurs in every column, including column 1.
they say that a (good) programmer can write FORTRAN in any language, so I
came up with this, where tbl is the data frame containing NA -
> newtbl<-NULL
> for (i in 1:length(tbl)){if (!is.na(tbl[1,i])){
+ newtbl<-if (is.null(newtbl))data.frame(tbl[i]) else
data.frame(newtbl,tbl[i])}}
>
however, from looking at the examples in the reference manual, I believe
that the same effect could be achieved using a more concise, APL-like,
syntax. offers?

thanks, Eric
--
Eric Barber <eric.barber at convergys.com> +44 1223 48 8132
Geneva Product Unit, Convergys, Block 3, Westbrook Centre,
Milton Road, Cambridge CB4 1YS, England

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