##create example data
data <- data.frame(
T = c(25, 40, 50, 60, 70, 80, 90, 100, 110),
V = c(0.06, 0.058, 0.052, 0.051, 0.041, 0.034, 0.035, 0.033, 0.032),
V_X = c(0.012, 0.009, 0.008, 0.008, 0.007, 0.006, 0.005, 0.005, 0.004))
data_list <- list(data, data)
data_NA <- data
data_NA[1,] <- NA
test_that("standard check", {
testthat::skip_on_cran()
local_edition(3)
##trigger errors
expect_error(fit_ThermalQuenching(data = "test"))
##simple run with error
expect_error(fit_ThermalQuenching(
data = data[,1:2],
n.MC = NULL), regexp = "'data' is empty or has less than three columns!")
##simple run with warning
expect_warning(fit_ThermalQuenching(
data = cbind(data,data),
n.MC = NULL), regexp = "data' has more than 3 columns, taking only the first three!")
##simple run with warning NA
expect_warning(fit_ThermalQuenching(
data = data_NA,
n.MC = NULL), regexp = "NA values in 'data' automatically removed!")
##simple run
expect_s4_class(fit_ThermalQuenching(
data = data,
n.MC = NULL), class = "RLum.Results")
##simple run with fitting error
expect_null(fit_ThermalQuenching(
data = data.frame(T = 1:10, V = 1:10, V_X = 1:10),
n.MC = NULL))
# ##switch off weights
expect_s4_class(fit_ThermalQuenching(
data = data,
method_control = list(weights = NULL),
n.MC = NULL), class = "RLum.Results")
##simple list run
expect_s4_class(fit_ThermalQuenching(
data = data_list,
n.MC = NULL), class = "RLum.Results")
##simple run without plot etc
expect_s4_class(fit_ThermalQuenching(
data = data,
verbose = FALSE,
plot = TRUE,
n.MC = 10), class = "RLum.Results")
})
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.