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how to view/edit large matrix/array in R?

I think what most everyone is getting at is that the visual identification of numeric outliers is an exceedingly difficult task and one we humans are not well evolved for. Rather they are all suggesting you use visual techniques to spot and fix outliers individually. This practice has a long and reputable history in statistics and has been shown to be far more efficient than simply scanning pages of numbers for a single misplaced decimal. In conjunction, I'd also recommend use of the identify() function, which serves just this purpose. 

If you have so much data that the csv export is unbearably slow it seems unlikely you can check it all by hand. 

Another, more general, methodology if you are worried about data corruption is to use robust statistics when applicable. 

Michael
On Dec 5, 2011, at 10:27 PM, Michael <comtech.usa at gmail.com> wrote: