On Sun, Sep 7, 2008 at 12:32 PM, Steve Murray <[EMAIL PROTECTED]> wrote: > > > Dear all, > > I have a large dataset which I hope to reduce in size, to make it more > useable. I hope to do this by taking an average of each 60 x 60 blockof > values and forming a new data frame out of the averaged values.
what does the data look like? vector / matrix / list ? > > How would I go about taking averages of 60 x 60 'blocks' in R, and cycling > through the whole dataset, recording each calculated value in a new > table/data frame? some form of apply(), tapply(), mapply(), or lapply() would probably do what you want > Many thanks for any advice offered. > > Steve > Here is a start: # step 1. too much data: 10x10 matrix m <- matrix(runif(100), ncol=10) # step 2. reduce down to a 10x1 vector, averaging-by-row: apply(m, 1, mean) # step 3 profit. Dylan ______________________________________________ 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.
