Hi Vickie,

You might try the following:

# some data
set.seed(123)
X <- matrix(rnorm(1000), ncol = 20)
X[sample(1000, 100)] <- NA

# excluding rows with NA >20%
X[!rowMeans(is.na(X)) > 0.2, ]

# excluding columns with NA >10%
X[, !colMeans(is.na(X)) > 0.1]

See ?is.na, ?rowMeans and ?colMeans for more information.

HTH,
Jorge

On Fri, May 13, 2011 at 9:42 AM, Vickie S <> wrote:

>
> Hi
> naive question.
> It is possible to get R command for omitting rows or cols with missing
> values present.
>
> But
> if i want to omit rows or cols with i.e . >20% missing values, I
> could´t find any package-based command, probably because it is too
> simple for anyone to do that manually, though not for me. Can anyone
> please help me ?
>
> - vickie
>
>
>
>
>
>
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>
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