Loop for cleaning NAs in R -

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is there way write code more effectively?

for (k in 1:ncol(tr)){   temp=tr[[k]]   temp[is.na(temp)] = mean(temp[!is.na(temp)])   tr[[k]]=temp }

to replace loop matrices or dataframes, applyis idea:

apply(tr, 1,  function(temp) {temp[is.na(temp)] <- mean(temp, na.rm=true); temp})

more information apply-like functions here.


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