Premium
On the use of the merging R factor as a quality indicator for X‐ray data
Author(s) -
Weiss M. S.,
Hilgenfeld R.
Publication year - 1997
Publication title -
journal of applied crystallography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.429
H-Index - 162
ISSN - 1600-5767
DOI - 10.1107/s0021889897003907
Subject(s) - redundancy (engineering) , reflection (computer programming) , data redundancy , quality (philosophy) , data quality , factor (programming language) , x ray , computer science , physics , optics , computational physics , database , engineering , metric (unit) , operations management , quantum mechanics , programming language , operating system
By comparison of the accuracy and the merging R factor ( R merge ) of artificially created X‐ray data sets, it is demonstrated that R merge is a poor predictor for the precision of X‐ray data. The more often a given reflection is observed, the more precise the average intensity is, whereas R merge has a tendency to be higher at higher data redundancy.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom