| rtncGTW,ncGTWwarp-method {ncGTW} | R Documentation |
Accessors to the realigned RT and the peaks with adjusted RT of ncGTW alignment.
## S4 method for signature 'ncGTWwarp' rtncGTW(object) ## S4 method for signature 'ncGTWwarp' ncGTWpeaks(object)
object |
a |
rtncGTW returns a list of the same length as the sample
number, in which each element is a vector of the realigned RT of the
corresponding sample.
rtncGTW returns a matrix containing peak data with adjusted
RT.
# obtain data
data('xcmsExamples')
xcmsLargeWin <- xcmsExamples$xcmsLargeWin
xcmsSmallWin <- xcmsExamples$xcmsSmallWin
ppm <- xcmsExamples$ppm
# detect misaligned features
excluGroups <- misalignDetect(xcmsLargeWin, xcmsSmallWin, ppm)
# obtain the paths of the sample files
filepath <- system.file("extdata", package = "ncGTW")
file <- list.files(filepath, pattern="mzxml", full.names=TRUE)
tempInd <- matrix(0, length(file), 1)
for (n in seq_along(file)){
tempCha <- file[n]
tempLen <- nchar(tempCha)
tempInd[n] <- as.numeric(substr(tempCha, regexpr("example", tempCha) + 7,
tempLen - 6))
}
# sort the paths by data acquisition order
file <- file[sort.int(tempInd, index.return = TRUE)$ix]
## Not run:
# load the sample profiles
ncGTWinputs <- loadProfile(file, excluGroups)
# initialize the parameters of ncGTW alignment with default
ncGTWparam <- initncGTWparam()
# run ncGTW alignment
ncGTWoutputs <- vector('list', length(ncGTWinputs))
ncGTWoutputs[[1]] <- ncGTWalign(ncGTWinputs[[1]], xcmsLargeWin, 5,
ncGTWparam = ncGTWparam)
# adjust RT with the realignment results from ncGTW
ncGTWres <- xcmsLargeWin
adjustRes <- adjustRT(ncGTWres, ncGTWinputs[[1]], ncGTWoutputs[[1]], ppm)
rt <- rtncGTW(adjustRes)
peaks <- ncGTWpeaks(adjustRes)
## End(Not run)