[R] how to strip list from NA values looking only at one column ?

[jim holtman]

Are you using a 'dataframe' instead of a 'list"?

If it is a dataframe, then the following will work:

df <- df[!is.na(df$z), ]  # only keep rows without z == NA

On Wed, Dec 8, 2010 at 5:16 AM, madr <madrazel at interia.pl> wrote:
>
> I have got a list with 3 colums x,y,z, now I want do delete whole rows where
> column z has NA values
>
> I am not intereted in x and y columns if there are also NA values or not,
> moreover I do not want to touch them because if there would be NA that would
> mean a more serious error for me, and I have cath for that somewhere else
>
> I am asking because I only saw an example where function loops over all
> columns in a row and deletes row when any of them is NA, and that would be
> more time consuming I suppose than only traverse list by one column.
> --
> View this message in context: http://r.789695.n4.nabble.com/how-to-strip-list-from-NA-values-looking-only-at-one-column-tp3077971p3077971.html
> Sent from the R help mailing list archive at Nabble.com.
>
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-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?