Hi all,
I would like to remove rows from a matrix, based on the frequency of missing
values. If there are more than 10 % missing values, the row should be deleted.
I use the following to calculate the frequencies, thereby getting a new matrix
with the frequencies:
freqNA=rowMeans(is.na(exprdata))
But is there a shorter way to remove the rows based on "(1-freqNA)>0.1" than
looping through the whole matrix using a for loop?
All the best,
Joel
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