One conventional measure of crystallographic data quality is a plot or table of average I/SigI versus resolution. Besides serving as a diagnostic, this also provides a way to assign a nominal resolution to the dataset based on the point where I/SigI decreases below 2. Attached is sample code that builds on the already implemented parser in stats/parser.py.
Note that I added a .txt extension (to be able to attach the file) that needs to be removed again.
IsigI.py.txt
One conventional measure of crystallographic data quality is a plot or table of average I/SigI versus resolution. Besides serving as a diagnostic, this also provides a way to assign a nominal resolution to the dataset based on the point where I/SigI decreases below 2. Attached is sample code that builds on the already implemented parser in
stats/parser.py
.Note that I added a .txt extension (to be able to attach the file) that needs to be removed again. IsigI.py.txt