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I have a data.frame containing some columns with all NA values, how can I delete them from the data.frame.

Can I use the function

na.omit(...) 

specifying some additional arguments?

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One way of doing it:

df[, colSums(is.na(df)) != nrow(df)]

If the count of NAs in a column is equal to the number of rows, it must be entirely NA.

Or similarly

df[colSums(!is.na(df)) > 0]

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