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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.