Is apply(foo.dat, 2, sort, na.last = TRUE)
what you want? -roger _______________________________ UCLA Department of Statistics [EMAIL PROTECTED] http://www.stat.ucla.edu/~rpeng On 12 Feb 2003, Tim Sharac wrote: > Hi R-users: > > I have a data formatting question. I have a data set that looks something like this: > > foo.dat <- cbind(c(NA, 1, 2, 3, 4, 5), c(NA, NA, 0, 10 ,20, 30)) > > What I have: > > [,1] [,2] > [1,] NA NA > [2,] 1 NA > [3,] 2 0 > [4,] 3 10 > [5,] 4 20 > [6,] 5 30 > > > I want to line up the columns by the first value that is not NA. Like so: > > [,1] [,2] > [1,] 1 0 > [2,] 2 10 > [3,] 3 20 > [4,] 4 30 > [5,] 5 NA > [6,] NA NA > > Question is: Is there an elegant way to do this without a for loop? > > I tried doing this with na.omit and na.exclude without success. > > The real data is many hundreds of columns and many thousands of rows. > > Thanks in advance, Tim > > Sign up for Internet Service under $10 dollars a month, at http://isp.BlueLight.com > > ______________________________________________ > [EMAIL PROTECTED] mailing list > http://www.stat.math.ethz.ch/mailman/listinfo/r-help > ______________________________________________ [EMAIL PROTECTED] mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
