Nothing
## load data
input.csv <- file.path(test_path("_data"),
paste0("CLBR_IR", c(50, 100, 150, 225), ".csv"))
test_that("input validation", {
testthat::skip_on_cran()
expect_error(analyse_ThermochronometryData(list()),
"'object' should be of class 'character'")
expect_error(analyse_ThermochronometryData("error"),
"File does not exist")
expect_error(analyse_ThermochronometryData(input.csv[1], verbose = "error"),
"'verbose' should be a single logical value")
expect_error(analyse_ThermochronometryData(test_path("_data/CLBR.xlsx")),
"XLS/XLSX format is not supported, use CSV instead")
expect_error(analyse_ThermochronometryData(test_path("_data/CLBR.xlsx")),
"XLS/XLSX format is not supported, use CSV instead")
expect_error(analyse_ThermochronometryData(input.csv[1], ITL_model = "error"),
"'ITL_model' should be one of 'GOK' or 'BTS'")
})
test_that("check functionality", {
testthat::skip_on_cran()
expect_s4_class(analyse_ThermochronometryData(input.csv[1],
verbose = FALSE),
"RLum.Results")
expect_s4_class(analyse_ThermochronometryData(input.csv[1], ITL_model = "BTS",
verbose = FALSE,
num_s_values_bts = 10),
"RLum.Results")
})
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