.testHappyPath = function(input) {
output = MSstatsConvert:::.cleanRawPDTMT(input)
expect_equal(ncol(output), 11)
expect_true(nrow(output) > 0)
expected_column_names = c(
"ProteinName",
"numProtein",
"PeptideSequence",
"PrecursorCharge",
"IonsScore",
"Run",
"QuanInfo",
"IsolationInterference",
"PSM",
"Channel",
"Intensity"
)
missing_columns = setdiff(expected_column_names, colnames(output))
expect_equal(length(missing_columns), 0)
}
# Test PD .cleanRawPDTMT ---------------------------
file_path = system.file("tinytest/processed_data/PD/MSstatsProteomeDiscovererFilesObjectTMT.rds", package="MSstatsConvert")
input = readRDS(file_path)
.testHappyPath(input)
# Test PD .cleanRawPDTMT Column Validation Error ---------------------------
file_path = system.file("tinytest/processed_data/PD/MSstatsProteomeDiscovererFilesObjectTMTBadInput.rds",
package="MSstatsConvert")
input_with_missing_column = readRDS(file_path)
expect_error(MSstatsConvert:::.cleanRawPDTMT(input_with_missing_column),
pattern = "The following columns are missing from the input data")
# Test PD .cleanRawPDTMT for PD 3.1+, where "# Proteins" & "# Protein Groups"
# columns are renamed to "Number of Proteins" & "Number of Protein Groups"
file_path = system.file("tinytest/processed_data/PD/MSstatsProteomeDiscovererFilesObjectTMT3-1Format.rds", package="MSstatsConvert")
input = readRDS(file_path)
.testHappyPath(input)
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