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

2 messages · madr, jim holtman

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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.
#
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: