globalcalib.massvectorlist {mscalib}R Documentation

Set Based Internal Calibration

Description

Determines the error and corrects for it.

Usage

## S3 method for class 'massvectorlist':
globalcalib(object , calib , error=500, labund = 12, ppm=TRUE , abund=length(object)/5,accur = ifelse(ppm,error/2000,error) ,...)

Arguments

... 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.

Details

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.

Value

massvectorlist calibrated massvectorlist.

Author(s)

Witold Wolski wolski@molgen.mpg.de

References

-
Wolski http://www.molgen.mpg.de/~wolski/mscalib

See Also

getintcalib.massvectorlist, correctinternal.massvectorlist, getintcalib.massvector, calibintstat, caliblist,

Examples

 data(mvl)
 data(cal)
 mvl2<-globalcalib(mvl,cal,error=500,labund=12)

[Package mscalib version 0.5.9 Index]