context("Valid ncGTW")
library(xcms)
test_that("misalignDetect detects misaligned features", {
data('xcmsExamples')
xcmsLargeWin <- xcmsExamples$xcmsLargeWin
xcmsSmallWin <- xcmsExamples$xcmsSmallWin
ppm <- xcmsExamples$ppm
# detect misaligned features
expect_equal(nrow(misalignDetect(xcmsLargeWin, xcmsSmallWin, ppm)), 2)
})
test_that("loadProfile loads all sample profiles, ncGTWalign realign the
misaligned feature, and adjustRT produces the new warping functions",
{
data('xcmsExamples')
xcmsLargeWin <- xcmsExamples$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]
# load the sample profiles
ncGTWinputs <- loadProfile(file, excluGroups)
expect_equal(length(ncGTWinputs), 2)
expect_equal(nrow(ncGTWinputs[[1]]@profiles), length(file))
expect_equal(nrow(ncGTWinputs[[2]]@profiles), length(file))
# initialize the parameters of ncGTW alignment with default
ncGTWparam <- new("ncGTWparam")
# run ncGTW alignment
ncGTWoutputs <- ncGTWalign(ncGTWinputs[[1]], xcmsLargeWin, 5,
ncGTWparam = ncGTWparam)
expect_equal(length(ncGTWoutputs@ncGTWpath), length(file))
# adjust RT with the realignment results from ncGTW
ncGTWres <- xcmsLargeWin
adjustRes <- adjustRT(ncGTWres, ncGTWinputs[[1]], ncGTWoutputs, ppm)
expect_equal(nrow(adjustRes@ncGTWpeaks), nrow(peaks(xcmsLargeWin)))
expect_equal(length(adjustRes@rtncGTW), length(file))
})
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