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