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Hi; I emailed monty@xiph.org about this before I noticed the mailing list existed; I suppose it can't ask to hurt here too. We're about to release a product which has support for multiple languages; as a result, the license text and documentation has been translated into each of these languages. As the product includes Ogg Vorbis playback using libvorbis, we've obviously got to

We have a network with Windows NT/2000, SGI's, Linux, Macintosh, AIX. Our user account/passwords for all our machines is handled by NIS on an AIX machine. Our unix machines autheticate through NIS. Our windows machines authenticate by loging on to an NT server acting as the PDC, and that PDC has a service installed on it called "WinDD NIS" (made by Tektronix I think) which contacts

I'm new to R and am trying to perform a simple, yet problematic task. I have two variables for which I would like to measure the correlation and plot versus each other. However, I have ~30 million data points measurements of each variable. I can read this into R from file and produce a plot with plot(x0, x1) but as you would expect, its not pretty to look at and produces a postscript

I am doing an analysis that requires me to calculate correlations for a matrix of 15,000 rows x 50 columns. For each row I want to calculate the correlation to all other rows and then for each row, find the n (say 10) most correlated rows. If read in the 15,000 x 50 data from file and pass it to 'cor', this function quite appropriately (and very quickly) calculates all possible row by