Hello,
I have a dataset (named "x") with many (966) columns. What I would like to do
is delete any columns that do not have at least 375 non-blank observations
(i.e., the cells have some value in them besides NA).
How can I do this? I have come up with the following code to _count_ the
non-blank observations in each column, but how would I adapt this code to
_delete_ columns from the dataset if they do not have at least 375 non-blank
observations?
lapply(x, function(d)
{
d.2<- na.omit(d)
count<- length(d.2)
}
)
Many thanks in advance,
Josh B.
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