Dear Kay,
Thanks for your input.
My intention is to compare a number of datasets, to what
resolution they extend to, based on a common criterion (which
might be I>sig(I) or even CC1/2), but I think to make the
comparison more
Hi Jorge,
the answer probably depends to some extent on what you need the numbers for.
The statistical error of the indicators is inversely proportional to the square
root of the number of reflections. I seem to remember publications in the field
of maximum likelihood refinement which report
Dear all,
Is there any study to recommend the (minimum) number of
reflections for adequate statistics in each shell during image
processing? I mean, for indexes like R_meas or R_symm or CC1/2,
it might be important to know the number of total
