Nothing
has_accdata <- requireNamespace("accdata", quietly = TRUE)
if (has_accdata) {
daily_acc_3d <- import_dataset("daily_acc_3d")
data <- define_region(
daily_acc_3d,
start_time = "2016-01-20 00:01:00",
end_time = "2016-01-20 23:59:59"
)
}
test_that("error handling works", {
if (!has_accdata) {
skip("`accdata` not available")
}
expect_error(
remove_nonwear(mtcars),
class = "error_argument_class"
)
expect_error(
remove_nonwear(data, window1 = "10"),
class = "error_argument_type"
)
expect_error(
remove_nonwear(data, window2 = TRUE),
class = "error_argument_type"
)
expect_error(
remove_nonwear(data, min_day_crit = "yes"),
class = "error_argument_type"
)
expect_error(remove_nonwear(data, window1 = 60, window2 = 7))
expect_error(remove_nonwear(data, threshold = 4))
expect_error(remove_nonwear(data, min_hour_crit = 27))
expect_error(remove_nonwear(data, plot = "yes"))
expect_error(remove_nonwear(data, save_plot = 1))
expect_error(remove_nonwear(data, save_summary = TRUE))
expect_error(remove_nonwear(data, save_plot = "plot.tiff"))
expect_error(remove_nonwear(data, save_summary = "summary.xlsx"))
suppressMessages(
expect_error(remove_nonwear(data, min_hour_crit = 15, min_day_crit = 3))
)
})
test_that("no warnings are generated when trying to save a plot", {
if (!has_accdata) {
skip("`accdata` not available")
}
attributes(data)$filename <- "Sáv"
plot_filename <- tempfile(fileext = ".pdf")
expect_warning(
remove_nonwear(data, save_plot = plot_filename),
regexp = NA
)
if (file.exists(plot_filename)) file.remove(plot_filename)
})
test_that("non-wear detection works", {
if (!has_accdata) {
skip("`accdata` not available")
}
expect_snapshot(print(remove_nonwear(data), n = 1000))
})
test_that("plotting detected non-wear time works", {
if (!has_accdata) {
skip("`accdata` not available")
}
plot_file <- tempfile(fileext = ".pdf")
summary_file <- tempfile(fileext = ".csv")
out <- remove_nonwear(
data, save_plot = plot_file, save_summary = summary_file
)
expect_true(file.exists(plot_file))
expect_true(file.exists(summary_file))
file.remove(plot_file)
file.remove(summary_file)
})
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