data frame cointaining all peaks from the full MS function. It
must have three columns: m.z, RT (in seconds) and int (intensity).
results
data frame. Output of identification functions.
ppm
mass tolerance in ppm.
rttol
rt tolerance to match peaks in seconds.
dbs
list of data bases required for annotation. By default, dbs
contains the required data frames based on the default fragmentation rules.
If these rules are modified, dbs may need to be supplied. See createLipidDB
and assignDB.
Value
Data frame with 6 columns: m.z, RT, int, LipidMS_id, adduct and
confidence level for the annotation. When multiple IDs are proposed for the
same feature, they are sorted based on the annotation level.