dataPath <- system.file("test_data", package="TPP")
dat1 <- readRDS(file.path(dataPath, "panobinostat_2D_importResults.rds"))
dat2 <- readRDS(file.path(dataPath, "panobinostat_2D_fcResults.rds"))
dat3 <- readRDS(file.path(dataPath, "panobinostat_2D_normResults.rds")) # example input from an older experiment
dat4 <- readRDS(file.path(dataPath, "panobinostat_2D_fitResults.rds")) # example output from an older experiment (12 rows)
settings1 <- attr(dat1, "importSettings")
settings2 <- attr(dat2, "importSettings")
settings3 <- attr(dat3, "importSettings")
settings4 <- attr(dat4, "importSettings")
allCols1 <- colnames(dat1)
allCols2 <- colnames(dat2)
allCols3 <- colnames(dat3)
allCols4 <- colnames(dat4)
test_that("all_ok1", code={
settingsIn <- settings1
fieldsIn <- names(settings1) %>% setdiff(c("fcStr", "addCol", "qualColName"))
colsIn <- colnames(dat1)
colNames <- sapply(fieldsIn, function(field) {
TPP:::checkAndReturnDataSetting(settingsIn, field, colsIn)
}, simplify = TRUE)
expect_equal(colNames, c(proteinIdCol = "representative",
uniqueIdCol = "unique_ID",
intensityStr = "sumionarea_protein_",
nonZeroCols = "qusm"))
})
test_that("all_ok2", code={
settingsIn <- settings2
fieldsIn <- names(settings2) %>% setdiff(c("addCol", "qualColName"))
colsIn <- colnames(dat2)
colNames <- sapply(fieldsIn, function(field) {
TPP:::checkAndReturnDataSetting(settingsIn, field, colsIn)
}, simplify = TRUE)
expect_equal(colNames, c(proteinIdCol = "representative",
uniqueIdCol = "unique_ID",
intensityStr = "sumionarea_protein_",
nonZeroCols = "qusm",
fcStr = "rel_fc_protein_"))
})
test_that("all_ok3", code={
settingsIn <- settings3
fieldsIn <- names(settings3) %>% setdiff(c("addCol", "qualColName"))
colsIn <- colnames(dat3)
colNames <- sapply(fieldsIn, function(field) {
TPP:::checkAndReturnDataSetting(settingsIn, field, colsIn)
}, simplify = TRUE)
expect_equal(colNames, c(proteinIdCol = "representative",
uniqueIdCol = "unique_ID",
intensityStr = "sumionarea_protein_",
nonZeroCols = "qusm",
fcStr = "rel_fc_protein_",
fcStrNorm = "norm_rel_fc_protein_"))
})
test_that("all_ok4", code={
settingsIn <- settings4
fieldsIn <- names(settings4) %>% setdiff(c("addCol", "qualColName", "slopeBounds"))
colsIn <- colnames(dat4)
colNames <- sapply(fieldsIn, function(field) {
TPP:::checkAndReturnDataSetting(settingsIn, field, colsIn)
}, simplify = TRUE)
expect_equal(colNames, c(proteinIdCol = "representative",
uniqueIdCol = "Protein_ID",
intensityStr = "sumionarea_protein_",
nonZeroCols = "qusm",
fcStr = "rel_fc_protein_",
fcStrNorm = "norm_rel_fc_protein_",
r2Cutoff = "0.8",
fcCutoff = "1.5",
fcTolerance = "0.1"))
})
test_that("no_character", {
settingsIn <- settings1
settingsIn$proteinIdCol = TRUE
fieldIn <- "proteinIdCol"
colsIn <- colnames(dat1)
expect_error(
TPP:::checkAndReturnDataSetting(settingsIn, fieldIn, colsIn)
)
})
test_that("no_numeric", {
settingsIn <- settings4
settingsIn$fcTolerance = TRUE
fieldIn <- "fcTolerance"
colsIn <- colnames(dat4)
expect_error(
TPP:::checkAndReturnDataSetting(settingsIn, fieldIn, colsIn)
)
})
test_that("no_field", {
settingsIn <- settings1
fieldIn <- "nonsense"
colsIn <- colnames(dat1)
expect_error(
TPP:::checkAndReturnDataSetting(settingsIn, fieldIn, colsIn)
)
})
test_that("no_colname", {
settingsIn <- settings1
settingsIn$intensityStr <- "nonsense"
fieldIn <- "intensityStr"
colsIn <- colnames(dat1)
expect_error(
TPP:::checkAndReturnDataSetting(settingsIn, fieldIn, colsIn)
)
})
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