View source: R/manualComplexFeatureAnnotation.R
Make a ROC curve.
1 2 | makeROC(detected.features, true.positive.features, params, n.all.complexes,
subsetFeaturesFunc)
|
detected.features |
A dataframe with the columns: 'complex_id', 'rt' |
true.positive.features |
A dataframe with the columns: 'complex_id', 'rt' |
params |
A numeric vector of apex_mw_fit values that should be used to define if a feature passes the molecular weight test or not |
n.all.complexes |
Number of complexes that were inputto cprophet's complex detection (this includes decoys). |
subsetFeaturesFunc |
A function that should receive a feature DT and a parameter value. It should return the same DT with some rows removed. |
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