Nothing
## load data
data(ExampleData.CW_OSL_Curve, envir = environment())
values <- CW_Curve.BosWallinga2012
object <- set_RLum(class = "RLum.Data.Curve",
data = as.matrix(ExampleData.CW_OSL_Curve),
curveType = "measured",
recordType = "OSL")
test_that("check functionality", {
testthat::skip_on_cran()
tol <- 1.5e-6
expect_snapshot_plain(convert_CW2pLM(values),
tolerance = tol)
expect_snapshot_plain(convert_CW2pLMi(values, P = 1/20),
tolerance = tol)
expect_snapshot_plain(convert_CW2pLMi(values),
tolerance = tol)
expect_warning(
expect_snapshot_plain(convert_CW2pHMi(values),
tolerance = tol),
"56 invalid values have been found")
expect_warning(
expect_snapshot_plain(convert_CW2pHMi(values, delta = 40),
tolerance = tol),
"56 invalid values have been found")
SW({ # repeated warning about invalid values
expect_warning(
expect_snapshot_plain(convert_CW2pHMi(values, delta = 2),
tolerance = tol),
"t' is beyond the time resolution and more than two data points")
})
expect_warning(
expect_snapshot_plain(convert_CW2pPMi(values, P = 1/10),
tolerance = tol),
"t' is beyond the time resolution: only two data points have been extrapolated")
})
test_that("Test RLum.Types", {
testthat::skip_on_cran()
expect_s4_class(convert_CW2pLM(object),
class = "RLum.Data.Curve")
expect_s4_class(convert_CW2pLMi(object),
class = "RLum.Data.Curve")
expect_s4_class(convert_CW2pHMi(object),
class = "RLum.Data.Curve")
expect_s4_class(suppressWarnings(convert_CW2pPMi(object)),
class = "RLum.Data.Curve")
## deprecated names
expect_warning(CW2pHMi(object),
"'CW2pHMi' is deprecated")
expect_warning(CW2pLM(object),
"'CW2pLM' is deprecated")
expect_warning(CW2pLMi(object),
"'CW2pLMi' is deprecated")
suppressWarnings(
expect_warning(CW2pPMi(object),
"'CW2pPMi' is deprecated"))
})
test_that("input validation", {
testthat::skip_on_cran()
expect_error(convert_CW2pLMi(values, P = 0),
"[convert_CW2pLMi()] P has to be > 0", fixed = TRUE)
expect_warning(convert_CW2pLMi(values, P = 10),
"t' is beyond the time resolution and more than two data points")
expect_error(convert_CW2pHMi(values = matrix(0, 2)),
"'values' should be of class 'data.frame' or 'RLum.Data.Curve'")
expect_error(convert_CW2pHMi(values = data.frame()),
"'values' cannot be an empty data.frame")
expect_error(convert_CW2pLMi(values = matrix(0, 2)),
"'values' should be of class 'data.frame' or 'RLum.Data.Curve'")
expect_error(convert_CW2pLMi(values = data.frame()),
"'values' cannot be an empty data.frame")
expect_error(convert_CW2pLM(values = matrix(0, 2)),
"'values' should be of class 'data.frame' or 'RLum.Data.Curve'")
expect_error(convert_CW2pLM(values = data.frame()),
"'values' cannot be an empty data.frame")
expect_error(convert_CW2pPMi(values = matrix(0, 2)),
"'values' should be of class 'data.frame' or 'RLum.Data.Curve'")
expect_error(convert_CW2pPMi(values = data.frame()),
"'values' cannot be an empty data.frame")
object@recordType <- "RF"
expect_error(convert_CW2pLM(values = object),
"recordType RF is not allowed for the transformation")
expect_error(convert_CW2pLMi(values = object),
"[convert_CW2pLMi()] recordType RF is not allowed for the transformation",
fixed = TRUE)
expect_error(convert_CW2pHMi(values = object),
"[convert_CW2pHMi()] recordType RF is not allowed for the transformation",
fixed = TRUE)
expect_error(convert_CW2pPMi(values = object),
"[convert_CW2pPMi()] recordType RF is not allowed for the transformation",
fixed = TRUE)
})
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