Nothing
test_that("We are running the 3rd edition of testthat", code = {
testthat::expect_gte(!!testthat::edition_get(), 3)
})
HTML=isTRUE(Sys.getenv("ART_GENERATE_HTML") == "TRUE") # Set with Sys.setenv(ART_GENERATE_HTML = "TRUE")
overwrite = FALSE # Use TRUE when creating new tests that need new *_expected data.
test_that("amExample1 from pg 5 in allelematchSuppDoc.pdf is 2.5.3 compatible", code = {
# Prepare for printing large snapshot files:
withr::local_options(width=200) # Allow longer lines for the summaries:
# Follow the instructions from allelematchSuppDoc.pdf:
# Test the results within curly brackets ("{ ... }") below the instructions.
data("amExample1")
expect_snapshot(
example1 <- amDataset(amExample1, indexColumn="sampleId", ignoreColumn="knownIndividual", missingCode="-99")
)
{
# Ensure that the result is still the same as that from 2.5.3:
expect_snapshot_value(example1, style="deparse")
}
output <- capture.output(
amUniqueProfile(example1, doPlot=TRUE)
)
{
# Ensure that the result is still the same as that from 2.5.3:
# cat("\nOutput from amUniqueProfile:\n", output, "\nEnd of output\n", sep="\n ")
testthat::expect_match(output, "missing data load for input dataset is 0.005 ", fixed=TRUE, all=FALSE)
testthat::expect_match(output, "allelic diversity for input dataset is 6.1 ", fixed=TRUE, all=FALSE)
testthat::expect_match(output, "Best guess for optimal parameter at alleleMismatch=2 OR matchThreshold=0.9 OR cutHeight=0.1", fixed=TRUE, all=FALSE)
testthat::expect_match(output, "Best guess for optimal parameter at alleleMismatch=2 OR matchThreshold=0.9 OR cutHeight=0.1$", all=FALSE)
testthat::expect_match(output, "Best guess for unique profile morphology: ZeroSecondMinimum", fixed=TRUE, all=FALSE)
}
expect_snapshot(
uniqueExample1 <- amUnique(example1, alleleMismatch=2, verbose=FALSE), # TODO : Default of verbose changed in 2.5.4
)
{
# testthat::expect_match(output, "allelematch: assuming genotype columns are in pairs, representing 10 loci$", all=FALSE)
# Ensure that the result is still the same as that from 2.5.3:
expect_snapshot_value(uniqueExample1, style="deparse")
}
if(HTML) {
## Save to disk
summary.amUnique(uniqueExample1, html=helpHtml("example1_1.html"))
## View in default browser
## summary.amUnique(uniqueExample1, html=TRUE)
}
expect_snapshot(
summary.amUnique(uniqueExample1, csv=summaryFile <- tempfile("example1_1.csv"))
)
{
# Note that the example from allelematchSuppDoc.pdf, summary(uniqueExample1, csv="example1_1.csv"),
# doesn't work. summary.amUnique is needed.
#
# We add the "summaryFile <- tempfile("example1_1.csv")" to avoid that tests generate unwanted files in the workspace.
# Ensure that the result is still the same as that from 2.5.3
expect_snapshot_value(read.csv(summaryFile, colClasses="character"), style="deparse")
file.remove(summaryFile)
}
summary.amUnique(uniqueExample1, csv=summaryFile <- tempfile("example1_2.csv"), uniqueOnly=TRUE)
{
# Ensure that the result is still the same as that from 2.5.3
expect_snapshot_value(read.csv(file=summaryFile, colClasses="character"), style="deparse")
file.remove(summaryFile)
}
example1chk <- amDataset(amExample1, indexColumn="sampleId",
metaDataColumn="knownIndividual", missingCode="-99")
{
# Ensure that the result is still the same as that from 2.5.3:
expect_snapshot_value(example1chk, style="deparse")
}
output = capture.output(
uniqueExample1chk <- amUnique(example1chk, alleleMismatch=2)
)
{
testthat::expect_match(output, "allelematch: assuming genotype columns are in pairs, representing 10 loci$", all=FALSE)
# Ensure that the result is still the same as that from 2.5.3:
expect_snapshot_value(uniqueExample1chk, style="deparse")
}
if(HTML) {
## Save to disk
summary.amUnique(uniqueExample1chk, html=helpHtml("example1_2.html"))
## View in default browser
# summary.amUnique(uniqueExample1chk, html=TRUE)
}
})
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