Rita Carreira <ritacarreira <at> hotmail.com> writes:
> I have several data frames where some of the variables have many
> missing observations. For example, Q1 in
> one of my data frames has over 66% of its observations missing.
> I have tried imputation with mice but it does
> not work for all the data frames and I get the following
> message or a similar message to this:
>
How about
missing_prop <- sapply(orig_data,function(x) { mean(is.na(x)) })
good_data <- orig_data[missing_prop>0.5]
(untested)
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