Nothing
## load data
data(ExampleData.CobbleData, envir = environment())
df <- ExampleData.CobbleData
test_that("input validation", {
testthat::skip_on_cran()
df$Distance[[14]] <- 50000
expect_error(calc_CobbleDoseRate("error"),
"'object' should be of class 'data.frame'")
expect_error(calc_CobbleDoseRate(data.frame()),
"'object' cannot be an empty data.frame")
expect_error(calc_CobbleDoseRate(iris),
"'object' doesn't contain the following columns:")
expect_error(calc_CobbleDoseRate(df),
"Slices outside of cobble: please ensure your distances are in mm")
expect_error(calc_CobbleDoseRate(ExampleData.CobbleData, conversion = "error"),
"'conversion' should be one of 'Guerinetal2011', 'Cresswelletal2018'")
})
test_that("snapshot tests", {
testthat::skip_on_cran()
snapshot.tolerance <- 1.5e-6
expect_snapshot_RLum(calc_CobbleDoseRate(df),
tolerance = snapshot.tolerance)
expect_snapshot_RLum(calc_CobbleDoseRate(df, conv = "Cresswelletal2018"),
tolerance = snapshot.tolerance)
expect_snapshot_RLum(calc_CobbleDoseRate(df, conv = "Liritzisetal2013"),
tolerance = snapshot.tolerance)
expect_snapshot_RLum(calc_CobbleDoseRate(df, conv = "AdamiecAitken1998"),
tolerance = snapshot.tolerance)
})
test_that("more coverage", {
testthat::skip_on_cran()
df$CobbleDiameter[1] <- 25
expect_s4_class(calc_CobbleDoseRate(df),
"RLum.Results")
df$DistanceError[1] <- 0
df$CobbleDiameter[1] <- 2
df$Thickness <- 10
df <- df[1:9, ]
expect_s4_class(calc_CobbleDoseRate(df),
"RLum.Results")
## deprecated argument
expect_warning(calc_CobbleDoseRate(input = df),
"'input' was deprecated in v1.2.0, use 'object' instead")
})
test_that("regression tests", {
testthat::skip_on_cran()
## issue 1424
df <- data.frame(Distance = 0, DistanceError = 0.01, Thickness = 0.6,
ThicknessError = 0.01, Mineral = "Q", Cobble_K = 0.008,
Cobble_K_SE = 0.0008, Cobble_Th = 0.62, Cobble_Th_SE = 0.06,
Cobble_U = 0.2, Cobble_U_SE = 0.02, GrainSize = 9000,
Density = 2.7, CobbleDiameter = 2.6, Sed_K = 0.09,
Sed_K_SE = 0.009, Sed_Th = 2.4, Sed_Th_SE = 0.2,
Sed_U = 0.75, Sed_U_SE = 0.07, GrainSize_Sed = 200L,
Density_Sed = 1.8, WaterContent = 8.2, WaterContent_SE = 4.1)
expect_error(calc_CobbleDoseRate(df, conversion = "Cresswelletal2018"),
"No attenuation data available for the grain size provided (9000)",
fixed = TRUE)
})
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