Description Arguments Details Value Methods Author(s) Examples
Fixes gaps in data due to calibration scans or lock mass. Automatically detects file type and calls the relevant method. The mzXML file keeps the data the same length in time but overwrites the lock mass scans. The netCDF version adds the scans back into the data thereby increasing the length of the data and correcting for the unseen gap.
object |
An |
lockMass |
A dataframe of locations of the gaps |
freq |
The intervals of the lock mass scans |
start |
The starting lock mass scan location, default is 1 |
makeacqNum
takes locates the gap using the starting lock mass scan and it's intervals. This data frame is then used in
stitch
to correct for the gap caused by the lock mass. Correction works by using scans from either side of the gap to fill it in.
stitch
A corrected xcmsRaw-class
object
makeacqNum
A numeric vector of scan locations corresponding to lock Mass scans
stitch(object, lockMass=numeric())
makeacqNum(object, freq=numeric(), start=1)
Paul Benton, hpaul.benton08@imperial.ac.uk
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | ## Not run: library(xcms)
library(faahKO)
## These files do not have this problem to correct for but just
## for an example
cdfpath <- system.file("cdf", package = "faahKO")
cdffiles <- list.files(cdfpath, recursive = TRUE, full.names = TRUE)
xr<-xcmsRaw(cdffiles[1])
xr
##Lets assume that the lockmass starts at 1 and is every 100 scans
lockMass<-xcms:::makeacqNum(xr, freq=100, start=1)
## these are equcal
lockmass<-AutoLockMass(xr)
ob<-stitch(xr, lockMass)
ob
## plot the old data before correction
foo<-rawEIC(xr, m=c(200,210), scan=c(80,140))
plot(foo$scan, foo$intensity, type="h")
## plot the new corrected data to see what changed
foo<-rawEIC(ob, m=c(200,210), scan=c(80,140))
plot(foo$scan, foo$intensity, type="h")
## End(Not run)
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