R-factors: Difference between revisions

Revision as of 13:39, 12 February 2008

Historically, R-factors were introduced by ...

R_sym and R_merge : the formula is (someone with LaTex knowledge please don't hesitate to fill in the formula!)
Redundancy-independant version of the above: R_meas
measuring quality of averaged intensities/amplitudes: R_p.i.m. and R_mrgd-F

- (R_sym / R_merge ) should not be used, R_meas should be used instead (explain why ?)

- R/R_free and NCS: reflections in work and test set are not independant

@@ Line 3: / Line 3: @@
 == Definitions ==
 === Data quality indicators ===
-* R_sym and R_merge: the formula is (someone with LaTex knowledge please don't hesitate to fill in the formula!)
+* R<sub>sym</sub> and R<sub>merge</sub> : the formula is (someone with LaTex knowledge please don't hesitate to fill in the formula!)
-* Redundancy-independant version of the above: R_meas
+* Redundancy-independant version of the above: R<sub>meas</sub>
-* measuring quality of averaged intensities/amplitudes: R_p.i.m./R_mrgd-F
+* measuring quality of averaged intensities/amplitudes: R<sub>p.i.m.</sub> and R<sub>mrgd-F</sub>
 === Model quality indicators ===
-* R and R_free: the formula is (LaTex please )
+* R and R<sub>free</sub> : the formula is (LaTex please )
 == what do R-factors try to measure, and how to interpret their values? ==
@@ Line 17: / Line 17: @@
 == what kind of problems exist with these indicators? ==
-- (R_sym/R_merge) should not be used, R_meas should be used instead (explain why ?)
+- (R<sub>sym</sub> / R<sub>merge</sub> ) should not be used, R<sub>meas</sub> should be used instead (explain why ?)
-- R/R_free and NCS: reflections in work and test set are not independant
+- R/R<sub>free</sub> and NCS: reflections in work and test set are not independant