I played around with your example on the smaller dataset, and it seemed like it was doing what I wanted. However, applying it to the larger problem, I didn't get a resized 2D dataset that preserved the order I was hoping for. Hopefully the following illustrates the larger problem:
x<-matrix(0,nrow=29328,ncol=7) # Now set the 70,000th element to 1 to find out where it ends up? # Iterating on columns first, then rows, the 70,000th element is # at index [10000,7] x[10000,7]<-1 y<-t(matrix(x,nrow=546)) dim(y) # [1] 376 546 # Does 1 appear at index [129,112] as I expect # (128 complete rows x 546 cols = 69888 + 112 = 70,000) thus, row 129, col 112 y[129,112] # [1] 0 # No, so where is it? grep(1,y) # [1] 123293 Where is that? -- View this message in context: http://r.789695.n4.nabble.com/resizing-data-tp4656653p4656662.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
