Hi Ale, perhaps something like this will work for you: ID <- c(1,2,3,4,5,6,7,8,9,10) a1 <- c(1,2,3,4,5,6,7,8,9,10) a2 <- c(11,12,13,14,15,16,17,18,19,20) a3 <- c(21,22,23,24,25,26,27,28,29,30) a4<- c(31,32,33,34,35,36,37,38,39,40) df <- data.frame(cbind(ID, a1, a2, a3, a4)) # get max by row, exclude first column (ID) rowmax <- apply(df[,-1], 1, max) row <- which(rowmax == max(rowmax)) df[row,] By the way, I think it is better not to post to two lists at the same time (many people are not subscribed to both, and this will break the thread). Robert On Sun, Apr 26, 2009 at 8:02 PM, Alessandro
<alessandro.montaghi at unifi.it> wrote:
Dear User, thank for the attention. I have a data.frame with 5 columns (ex:ID, a1,a2,a3,a4) and 1000 rows. I wish to find the absolute max value for all data.frame and save a new data.frame with the row where is that value. Ex: ID: 1,2,3,4,5,6,7,8,9,10 a1:1,2,3,4,5,6,7,8,9,10 a2:11,12,13,14,15,16,17,18,19,20 a3:21,22,23,24,25,26,27,28,29,30 a4:31,32,33,34,35,36,37,38,39,40 The max value in the four columns (a1,a2,a3,a4) is 40. The new data.frame is ID:10 A1:10 A2:20 A3:30 A4 :40 Thanks Ale ? ? ? ?[[alternative HTML version deleted]]
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