b) very large Rmerge values:
Rmerge Rwork Rfree Rfree-Rwork Resolution
---------------------------------------------
0.9990 0.1815 0.2086 0.0271 1.80<<< SG center, unpublished
0.8700 0.1708 0.2270 0.0562 1.96<<< unpublished
0.7700 0.1870 0.2297 0.0428 1.56
0.7600 0.2380 0.2680 0.0300 2.50<<< SG center, unpublished
0.7000 0.1700 0.2253 0.0553 1.71
0.6400 0.2179 0.2715 0.0536 2.75<<< SG center, unpublished
The most disturbing to me is that of those with very large overall
Rmerge values, 3 come from structural genomics centers.
Is that less or more disturbing than that the other 50% come from not-SG
centers?
Of course, the authors themselves may be willing to help correct the
obvious typos -- which will presumably disappear forever once we can
finally upload log files upon deposition (coming soon, I'm told).
On an unrelated note, it's reassuring to see sound statistical
principles -- averages, large N, avoidance of small number-anecdotes,
and such rot -- continue not to be abandoned in the politics of science
funding, he said airily.
phx