userguide:retentiontimerecomputing
Retention Time Recomputing
Steps followed by the Retention Time Recomputing algorithm
- For each 'parent' species from the selected User context (i.e. User context for which RT Recomputing is needed)
- Collect RTs for all final child species
- Can apply linear regression coefficients
- Can remove outliers using Grubbs method
- Critical values for a 0.05 significance level are used
- The test is used for # of values greater or equal to 3
- Each time a value is removed, the test is repeated.
- More details on Grubb's test here
- Compute the 'parent' RT value from one of the following statistical method (the previous RT value is then overwritten by the new one):
- Average
- Median
- Weighted average (by score)
- Best score per identification + average
- Best score per identification + median
userguide/retentiontimerecomputing.txt · Last modified: 2010/08/02 16:49 by 132.168.74.230
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