[R] elegant way of removing NA's and selecting specific values from a data.frame

[Bert Gunter]

?"&"

This is basic. Please read "An Intro to R" before posting any more
such questions if you have not already done so.

-- Bert

On Wed, Jul 6, 2011 at 8:35 AM, Jim Maas <j.maas at uea.ac.uk> wrote:
> I have a data.frame "e" and would like to extract the 23rd column, remove
> any NA's and then remove any values >= 30.  I can do it in steps such as
> this but have failed to figure out how to do it in a single line .... any
> suggestions?
>
> first <- e[,23]
> second <- first[!is.na(first)]
> third <- second[second<=30]
>
> thanks a bunch
>
> J
>
> --
> Dr. Jim Maas
> University of East Anglia
>
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-- 
"Men by nature long to get on to the ultimate truths, and will often
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-- Maimonides (1135-1204)

Bert Gunter
Genentech Nonclinical Biostatistics