network profile
| bio | website | |
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| age | ||
| visits | member for | 1 year, 7 months |
| seen | Oct 6 '11 at 22:47 | |
| stats | profile views | 1 |
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Oct 5 |
comment |
Switching from C++ to R - limitations/applications SAS appears faster b/c its data step encourages you to processes data one line at time, whereas R encourages loading everything into memory-- however that isn't the only way to do it. My (biological) datasets are 300gb+ each, and I have no particular problem processing them with a Perl->R pipeline with intermediate data placed in sqlite databases, never loading more than 1gb into memory. |
