data(ExampleData.CW_OSL_Curve, envir = environment())
temp <- calc_FastRatio(ExampleData.CW_OSL_Curve, plot = FALSE, verbose = FALSE)
test_that("input validation", {
testthat::skip_on_cran()
obj <- ExampleData.CW_OSL_Curve
expect_error(calc_FastRatio(obj, Ch_L1 = NULL),
"'Ch_L1' must be a positive integer scalar")
expect_error(calc_FastRatio(obj, Ch_L1 = 0),
"'Ch_L1' must be a positive integer scalar")
expect_error(calc_FastRatio(obj, Ch_L1 = c(1, 2)),
"'Ch_L1' must be a positive integer scalar")
expect_error(calc_FastRatio(obj, Ch_L2 = 0),
"'Ch_L2' must be a positive integer scalar")
expect_error(calc_FastRatio(obj, Ch_L2 = c(1, 2)),
"'Ch_L2' must be a positive integer scalar")
expect_error(calc_FastRatio(ExampleData.CW_OSL_Curve,
Ch_L3 = 50),
"Input for 'Ch_L3' must be a vector of length 2")
expect_error(calc_FastRatio(ExampleData.CW_OSL_Curve,
Ch_L3 = c(40, 50, 60)),
"Input for 'Ch_L3' must be a vector of length 2")
expect_error(calc_FastRatio(obj, Ch_L3 = list(4, 5)),
"Input for 'Ch_L3' must be a vector of length 2")
expect_error(calc_FastRatio(obj, Ch_L3 = c(0, 2)),
"'Ch_L3[1]' must be a positive integer scalar",
fixed = TRUE)
expect_error(calc_FastRatio(obj, Ch_L3 = c(5, 2)),
"Ch_L3[2] must be greater than or equal to Ch_L3[1]",
fixed = TRUE)
expect_error(calc_FastRatio(obj, Ch_L3 = c(5, 1001)),
"Value in Ch_L3 (5, 1001) exceeds number of available channels",
fixed = TRUE)
expect_warning(expect_null(calc_FastRatio(ExampleData.CW_OSL_Curve,
Ch_L2 = 1)),
"Calculated time/channel for L2 is too small (0, 1)",
fixed = TRUE)
expect_warning(expect_null(calc_FastRatio(ExampleData.CW_OSL_Curve,
Ch_L2 = 2000)),
"The calculated channel for L2 (2000) exceeds the number",
fixed = TRUE)
SW({
expect_warning(calc_FastRatio(ExampleData.CW_OSL_Curve,
Ch_L3 = c(1000, 1000)),
"The calculated channels for L3 (1000, 1000) exceed",
fixed = TRUE)
})
})
test_that("check class and length of output", {
testthat::skip_on_cran()
expect_s4_class(temp, "RLum.Results")
expect_equal(length(temp), 5)
## fitCW.sigma and fitCW.curve
SW({
calc_FastRatio(ExampleData.CW_OSL_Curve, plot = FALSE,
fitCW.sigma = TRUE, fitCW.curve = TRUE)
## RLum.Analysis object
data(ExampleData.XSYG, envir = environment())
calc_FastRatio(get_RLum(OSL.SARMeasurement$Sequence.Object)[[1]])
expect_warning(calc_FastRatio(get_RLum(TL.Spectrum)),
"L3 contains more counts (566) than L2 (562)",
fixed = TRUE)
})
})
test_that("check values from output", {
testthat::skip_on_cran()
results <- get_RLum(temp)
expect_equal(round(results$fast.ratio, digits = 3), 405.122)
expect_equal(round(results$fast.ratio.se, digits = 4), 119.7442)
expect_equal(round(results$fast.ratio.rse, digits = 5), 29.55756)
expect_equal(results$channels, 1000)
expect_equal(round(results$channel.width, digits = 2), 0.04)
expect_equal(results$dead.channels.start, 0)
expect_equal(results$dead.channels.end, 0)
expect_equal(results$sigmaF, 2.6e-17)
expect_equal(results$sigmaM, 4.28e-18)
expect_equal(results$stimulation.power, 30.6)
expect_equal(results$wavelength, 470)
expect_equal(results$t_L1, 0)
expect_equal(round(results$t_L2, digits = 6), 2.446413)
expect_equal(round(results$t_L3_start, digits = 5), 14.86139)
expect_equal(round(results$t_L3_end, digits = 5), 22.29208)
expect_equal(results$Ch_L1, 1)
expect_equal(results$Ch_L2, 62)
expect_equal(results$Ch_L3_start, 373)
expect_equal(results$Ch_L3_end, 558)
expect_equal(results$Cts_L1, 11111)
expect_equal(results$Cts_L2, 65)
expect_equal(round(results$Cts_L3, digits = 5), 37.66667)
})
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