====== Retention Time Recomputing ======

===== Steps followed by the Retention Time Recomputing algorithm =====

{{ :userguide:rtrecomputingconcept1.png|}}
  - 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 [[http://en.wikipedia.org/wiki/Grubbs%27_test_for_outliers|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