globalcalib.massvectorlist {mscalib} | R Documentation |
Determines the error and corrects for it.
## S3 method for class 'massvectorlist': globalcalib(object , calib , error=500, labund = 12, ppm=TRUE , abund=length(object)/5,accur = ifelse(ppm,error/2000,error) ,...)
... |
further parameters. |
abund |
default |
accur |
default |
calib |
massvector with calibration masses |
error |
assumed measurment error. |
labund |
how many abundant masses use for calibration. (8-12 masses are sufficient). |
object |
massvectorlist |
ppm |
TRUE - describe the error as relative error. FALSE - describe the error as absolute error. |
Set based Calibration copes with the problem of missing calibration masses. It first extracts about 15 most abundant masses of the massvectorlist, then they are internally calibrated and used as new calibration masses. In this fashion more massvectors can be internally calibrated. Internal calibration aligns masses of peaks to known masses and determines by linear regression a affine function that describing the relative error. The internal correction fails when no calibration peaks can be found.
massvectorlist |
calibrated massvectorlist. |
Witold Wolski wolski@molgen.mpg.de
getintcalib.massvectorlist
,
correctinternal.massvectorlist
,
getintcalib.massvector
,
calibintstat
,
caliblist
,
data(mvl) data(cal) mvl2<-globalcalib(mvl,cal,error=500,labund=12)