Nothing
## Tests of import_batch(), clean_batch() and import_and_clean_batch()
motive_test_data <-
read_motive_csv(system.file("extdata", "pathviewr_motive_example_data.csv",
package = 'pathviewr'))
import_list <-
c(rep(
system.file("extdata", "pathviewr_motive_example_data.csv",
package = 'pathviewr'),
3
))
import_list_flydra <-
c(rep(
system.file("extdata", "pathviewr_flydra_example_data.mat",
package = 'pathviewr'),
3
))
## Batch import
motive_batch_imports <-
import_batch(import_list,
import_method = "motive",
import_messaging = TRUE,
simplify_marker_naming = TRUE)
flydra_batch_imports <-
import_batch(import_list_flydra,
import_method = "flydra",
import_messaging = TRUE,
subject_name = "bob",
frame_rate = 100)
## Batch cleaning of these imported files
## via clean_viewr_batch()
motive_batch_cleaned <-
clean_viewr_batch(
file_announce = TRUE,
motive_batch_imports,
desired_percent = 50,
max_frame_gap = "autodetect",
span = 0.95
)
## Alternatively, use import_and_clean_batch() to
## combine import with cleaning on a batch of files
motive_batch_import_and_clean <-
import_and_clean_batch(
import_list,
import_method = "motive",
import_messaging = TRUE,
motive_batch_imports,
desired_percent = 50,
max_frame_gap = "autodetect",
span = 0.95
)
## Each of these lists of objects can be bound into
## one viewr object (i.e. one tibble) via
## bind_viewr_objects()
motive_bound_one <-
bind_viewr_objects(motive_batch_cleaned)
motive_bound_two <-
bind_viewr_objects(motive_batch_import_and_clean)
#### import_batch ####
test_that("import_batch() fails when no file is supplied",
{
expect_error(import_batch())
})
test_that("import_batch() fails when import_method is wrong",
{
expect_error(import_batch(import_list,
import_method = "magic"))
})
test_that("import_batch() gives messages when import_messaging is true",
{
expect_message(import_batch(
import_list,
import_method = "motive",
import_messaging = TRUE,
simplify_marker_naming = TRUE
))
expect_message(import_batch(
import_list_flydra,
import_method = "flydra",
import_messaging = TRUE,
subject_name = "bob"
))
})
#### clean_viewr_batch ####
test_that("clean_viewr_batch() fails when input is nonsense",
{
expect_error(clean_viewr_batch())
expect_error(clean_viewr_batch(motive_test_data))
})
test_that("clean_viewr_batch() announces files",
{
expect_message(clean_viewr_batch(file_announce = TRUE,
motive_batch_imports,
desired_percent = 50,
max_frame_gap = "autodetect",
span = 0.95))
})
#### import_and_clean_batch ####
test_that("import_and_clean_batch() fails when input is nonsense",
{
expect_error(import_and_clean_batch())
expect_error(import_and_clean_batch(import_list,
import_method = "magic"))
expect_error(import_and_clean_batch(motive_test_data))
})
test_that(
"import_and_clean_batch() gives messages when import_messaging is true",
{
expect_message(import_and_clean_batch(
import_list,
import_method = "motive",
import_messaging = TRUE,
simplify_marker_naming = TRUE
))
expect_error(import_and_clean_batch(
import_list_flydra,
import_method = "flydra",
import_messaging = TRUE,
subject_name = "bob",
frame_rate = 100,
gather_tunnel_data = FALSE
))
})
#### bind_viewr_objects ####
test_that("bind_viewr_objects() fails when input is nonsense",
{
expect_error(bind_viewr_objects())
expect_error(bind_viewr_objects(motive_test_data))
})
test_that("bind_viewr_objects() binds data properly",
{
expect_equal(
dim(bind_viewr_objects(motive_batch_cleaned)),
c(1347, 24)
)
})
test_that("bind_viewr_objects() handles attributes",
{
expect_equal(
attr(bind_viewr_objects(motive_batch_cleaned), "pathviewr_steps"),
c("viewr", "bound_viewr_objects")
)
})
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