Here I propose the implementation of a new parameter for AdjustRtime() called LamaParama which compute adjustment of retention file by file based on landmarks features (lamas) of an external dataset.
I also implemented some diagnostic function matchLamaChromPeaks(), summarizeLamaMatch to evaluate matching of
chromatographic peaks against lamas before adjustment.
Of note, I also wrote a new interpolation function .force_sorted() which could be reused in other cases and might be moved to another package.
I also wrote an example in the vignette describing everything.
Welcoming any feedback. I'm also not sure that the functions/documentations are in the right files, would appreciate input for that. For example the diagnostic functions should probably have their own documentation ? I'm not completely sure.
Here I propose the implementation of a new parameter for
AdjustRtime()
calledLamaParama
which compute adjustment of retention file by file based on landmarks features (lamas
) of an external dataset.I also implemented some diagnostic function
matchLamaChromPeaks()
,summarizeLamaMatch
to evaluate matching of chromatographic peaks againstlamas
before adjustment.Of note, I also wrote a new interpolation function
.force_sorted()
which could be reused in other cases and might be moved to another package.I also wrote an example in the vignette describing everything.
Welcoming any feedback. I'm also not sure that the functions/documentations are in the right files, would appreciate input for that. For example the diagnostic functions should probably have their own documentation ? I'm not completely sure.