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 _________________________________________________________________ Hitta kärleken i vinter! http://dejting.se.msn.com/channel/index.aspx?trackingid=1002952 [[alternative HTML version deleted]]
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