Nothing
test_that("calculatePairwiseSimilarities processes files correctly", {
# Define the paths to the input and expected output files
file_path_csv <- system.file("extdata", "example_data.csv", package = "Fluidigm")
file_path_map <- system.file("extdata", "example_data_withY.map", package = "Fluidigm")
outdir <- tempdir()
fluidigm2PLINK(file=file_path_csv, map=file_path_map, outdir=outdir)
# Define the parameter sets for the estimateErrors function
params.ee <- list(file=file.path(outdir, "example_data.csv.ped"), keep.rep=2, sexing=TRUE,
y.marker=c("Y_scaffoldY158711_762", "Y_scaffoldY42647_3017", "Y_scaffoldY42656_3986"),
x.marker=c("X_scaffold11905_7659", "X_scaffold17088_4621", "X_scaffold1915_14108",
"X_scaffold4825_648", "X_scaffold5374_1437", "X_scaffold10171:3154"))
# Now apply the estimateErrors function
do.call(estimateErrors, params.ee)
params <- list(
list(file=file.path(outdir, "example_data.csv.GOOD"),
sexing=FALSE,
expected_md5=c("686629d9ae2b7b00ed12adeda793da3f")),
list(file=file.path(outdir, "example_data.csv.GOOD"),
sexing=TRUE,
expected_md5=c("686629d9ae2b7b00ed12adeda793da3f"))
)
# Apply the estimateErrors function with each parameter set
for (param_set in params) {
# Now apply the calculatePairwiseSimilarities function
do.call(calculatePairwiseSimilarities, param_set[-length(param_set)])
# The expected outputs was calculated using this function during the preparation of the test
outfiles <- c("example_data.csv.GOOD.mibs")
# Compute the MD5 checksums of the output files
output_md5 <- unlist(lapply(file.path(outdir, outfiles), function(file) {
digest::digest(file, algo = "md5", file = TRUE)
}))
# Check that the MD5 checksums match
expect_equal(output_md5, param_set$expected_md5)
# Clean up the temporary files
unlink(file.path(outdir, outfiles))
}
})
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