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Hi, I have a medium-sized (19MB) CSV file that I'd like to read into R. The read.csv() function seems to be a bit inefficient to deal with it, and I remember that using scan() with "what" options is better. However I'm unable to understand how to use it. The first few lines of the data look like:

...64.7 3.0 2.25 9.5 195 3.69 297 10.05 0.495 66.5 3.4 2.25 13.0 198 3.91 308 10.10 0.830 66.9 3.5 2.50 14.0 199 4.21 309 10.05 1.010 64.5 3.4 2.20 11.5 192 3.79 298 10.00 0.920 63.7 3.3 2.20 11.5 189 3.92 297 10.00 0.650 63.7 3.4 2.30 13.0 190 3.95 297 10.10 0.560 -- Michel ARNAUD CIRAD TA60/15 73, av. Jean Fran?ois Breton 34938 MONTPELLIER CEDEX 5 tel 04 67 59 38 34 - Fax 04 67 59 38 27 -------------- next part -------------- A non-text attachment was scrubbed... Name: michel.arnaud.vcf Type: text/x-vcard Size: 204 bytes Desc: Carte pour Michel ARNAUD Url : https://stat.ethz.ch/pip...

I don't see why the Debian shared libraries shouldn't work, but it's not too hard to make shared ATLAS: first you need to get the flags for position-independent code (-fPIC on gcc) into the compilations, which can be done in the "config" program (add it to the defaults for the C and Fortran compiler flags), then you extract the object files from the .a archive built by