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− | The following is based on a CCP4BB discussion around June 17, 2008 entitled: "How many reflections for Rfree?" | + | The following is based on a CCP4BB discussion around June 17, 2008 entitled: "How many reflections for [[iucr:Free_R_factor|R<sub>free</sub>]]" |
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− | First of all, the test set is that set of reflections put aside for unbiased calculation of statistical quantities, in particular R_free and sigmaA. | + | First of all, the test set is that set of reflections put aside for unbiased calculation of statistical quantities, in particular [[iucr:Free_R_factor|R<sub>free</sub>]] and sigmaA. |
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| The need to find a good compromise for the size of the test set has been discussed by Axel Brunger in a "Methods in Enzymology" (1997) paper. He writes: | | The need to find a good compromise for the size of the test set has been discussed by Axel Brunger in a "Methods in Enzymology" (1997) paper. He writes: |
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| and the need to avoid a deleterious effect on the atomic model by omission of too much experimental data. | | and the need to avoid a deleterious effect on the atomic model by omission of too much experimental data. |
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− | ==How precise is the estimate of [[iucr:Free_R_factor|R<sub>free</sub>]] for a certain number of test set reflections?== | + | ==How precise is the estimate of R<sub>free</sub> for a certain number of test set reflections?== |
− | The estimate for the relative error of R_free is 1/sqrt(n), where n is the size of the test set. So if n is 1000, and the R_free is 31%, you would expect its relative error to be 31%/sqrt(1000), which is about 1%. | + | The estimate for the relative error of [[iucr:Free_R_factor|R<sub>free</sub>]] is 1/sqrt(n), where n is the size of the test set. So if n is 1000, and the [[iucr:Free_R_factor|R<sub>free</sub>]] is 31%, you would expect its relative error to be 31%/sqrt(1000), which is about 1%. |
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| I believe this is from a paper of Ian Tickle (FIXME: reference). | | I believe this is from a paper of Ian Tickle (FIXME: reference). |