Hello,
Maybe something like the following is what you want.
The code first creates a logical index of columns with at least one NA
or "NULL" (character string, not NULL) values. Then extracts only those
columns from the dataframe.
inx <- sapply(datos, function(x) any(x == "NULL" | is.na(x)))
Hi Paul,
Thanks for the reproducible data. You really only need to provide
enough to illustrate your question, but this works.
I suspect you have a data import problem - I doubt you really want so
many columns to be factors! Probably you need to specify that NULL
means something specific, rather
Dear friends,
Hope you are all doing well. I would like to know how to retrieve a
complete dataframe (all the columns), except for the cases when one of the
columns have either nulls or NAs.
In this case, I´d like to retrieve all the columns but only the cases
(rows) where Var5 has values differe
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