## Process example LC data
LC_file_paths <- list.files(
system.file("cdf",
package = "faahKO"),
full.names = TRUE,
recursive = TRUE)[1:2]
LC_sample_info <- tibble(
fileOrder = seq_along(LC_file_paths),
injOrder = seq_along(LC_file_paths),
fileName = basename(LC_file_paths),
batch = 1,
block = 1) %>%
mutate(name = tools::file_path_sans_ext(fileName),
class = substr(name,1,2))
LC_parameters <- profileParameters('LCMS-RP')
processingParameters(LC_parameters)$peakDetection <- CentWaveParam(
snthresh = 20,
noise = 1000)
processingParameters(LC_parameters)$retentionTimeCorrection <- ObiwarpParam()
processingParameters(LC_parameters)$grouping <- PeakDensityParam(
sampleGroups = LC_sample_info$class,
maxFeatures = 300,
minFraction = 2/3)
plan('sequential')
LC_processed_data <- profileProcess(
LC_file_paths,
LC_sample_info,
LC_parameters)
test_that("LC data returned correctly", {
expect_s4_class(LC_processed_data,'MetaboProfile')
})
test_that('Processed LC data can be extracted',{
expect_type(processedData(LC_processed_data),'list')
})
test_that('LC peak info can be extracted',{
expect_s3_class(peakInfo(LC_processed_data),'tbl_df')
})
test_that('The processing object can be extracted from the LC data',{
expect_type(extractProcObject(LC_processed_data),'list')
})
test_that('Chromatogram can be plotted for LC data',{
pl <- plotChromatogram(LC_processed_data,
cls = 'class',
group = TRUE)
expect_s3_class(pl,'ggplot')
})
test_that('Chromatogram can be plotted when cls = NULL and group = TRUE',{
pl <- plotChromatogram(LC_processed_data,
cls = NULL,
group = TRUE)
expect_s3_class(pl,'ggplot')
})
test_that('TIC can be plotted for LC data',{
expect_s3_class(plotTIC(LC_processed_data),'ggplot')
})
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