context("Check false_detections")
# Sample data for min_lag
det_df_exp <- structure(list(animal_id = c("153", "153", "153", "153", "153",
"153", "153", "153", "153", "153"), detection_timestamp_utc = structure(c(1337741659,
1337743033, 1337743278, 1337743396, 1337743572, 1337744344, 1337744491,
1337744491, 1337744686, 1337745421), class = c("POSIXct", "POSIXt"
), tzone = "UTC"), glatos_array = c("SBI", "SBI", "SBI", "SBI",
"SBI", "SBI", "SBI", "SBI", "SBI", "SBI"), station_no = c("1",
"1", "3", "1", "1", "1", "1", "2", "1", "1"), transmitter_codespace = c("A69-9001",
"A69-9001", "A69-9001", "A69-9001", "A69-9001", "A69-9001", "A69-9001",
"A69-9001", "A69-9001", "A69-9001"), transmitter_id = c("32054",
"32054", "32054", "32054", "32054", "32054", "32054", "32054",
"32054", "32054"), sensor_value = c(NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), sensor_unit = c(NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_), deploy_lat = c(44.17873, 44.17873,
44.17255, 44.17873, 44.17873, 44.17873, 44.17873, 44.17714, 44.17873,
44.17873), deploy_long = c(-83.54767, -83.54767, -83.5309, -83.54767,
-83.54767, -83.54767, -83.54767, -83.54169, -83.54767, -83.54767
), receiver_sn = c("109991", "109991", "109999", "109991", "109991",
"109991", "109991", "109956", "109991", "109991"), tag_type = c(NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_),
tag_model = c(NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_), tag_serial_number = c(NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_), common_name_e = c("walleye", "walleye", "walleye",
"walleye", "walleye", "walleye", "walleye", "walleye", "walleye",
"walleye"), capture_location = c("Tittabawassee River", "Tittabawassee River",
"Tittabawassee River", "Tittabawassee River", "Tittabawassee River",
"Tittabawassee River", "Tittabawassee River", "Tittabawassee River",
"Tittabawassee River", "Tittabawassee River"), length = c(0.565,
0.565, 0.565, 0.565, 0.565, 0.565, 0.565, 0.565, 0.565, 0.565
), weight = c(NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_), sex = c("F",
"F", "F", "F", "F", "F", "F", "F", "F", "F"), release_group = c(NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_, NA_character_, NA_character_, NA_character_,
NA_character_), release_location = c("Tittabawassee", "Tittabawassee",
"Tittabawassee", "Tittabawassee", "Tittabawassee", "Tittabawassee",
"Tittabawassee", "Tittabawassee", "Tittabawassee", "Tittabawassee"
), release_latitude = c(NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), release_longitude = c(NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_
), utc_release_date_time = structure(c(1332273600, 1332273600,
1332273600, 1332273600, 1332273600, 1332273600, 1332273600,
1332273600, 1332273600, 1332273600), class = c("POSIXct",
"POSIXt"), tzone = "UTC"), glatos_project_transmitter = c("HECWL",
"HECWL", "HECWL", "HECWL", "HECWL", "HECWL", "HECWL", "HECWL",
"HECWL", "HECWL"), glatos_project_receiver = c("HECWL", "HECWL",
"HECWL", "HECWL", "HECWL", "HECWL", "HECWL", "HECWL", "HECWL",
"HECWL"), glatos_tag_recovered = c("NO", "NO", "NO", "NO",
"NO", "NO", "NO", "NO", "NO", "NO"), glatos_caught_date = structure(c(NA_real_,
NA_real_, NA_real_, NA_real_, NA_real_, NA_real_, NA_real_,
NA_real_, NA_real_, NA_real_), class = "Date"), station = c("SBI-001",
"SBI-001", "SBI-003", "SBI-001", "SBI-001", "SBI-001", "SBI-001",
"SBI-002", "SBI-001", "SBI-001"), min_lag = c(1374, 363,
4180, 176, 176, 147, 147, 4478, 195, 735), passed_filter = c(1,
1, 0, 1, 1, 1, 1, 0, 1, 1)), row.names = 129:138, class = c("glatos_detections",
"data.frame"))
#strip last col to create input
#data.frame
det_df_in <- det_df_exp[ , 1:(ncol(det_df_exp) - 1)]
#data.table
det_dt_in <- data.table::as.data.table(det_df_in)
#tibble
det_tbl_in <- tibble::as_tibble(det_df_in)
#results
det_df_out <- false_detections(det_df_in, 3600)
det_dt_out <- false_detections(det_dt_in, 3600)
det_tbl_out <- false_detections(det_tbl_in, 3600)
# Testing column that data.frame input returns expected
test_that("data.frame input gives expected result", {
# Check if expected and actual results are the same
expect_equal(det_df_out, det_df_exp)
})
# Testing column that data.frame input returns expected
test_that("data.table input gives expected result", {
# Check if expected and actual results are the same
expect_equal(det_dt_out, data.table::as.data.table(det_df_exp))
})
# Testing column that tibble input returns expected
test_that("tibble input gives expected result", {
# Check if expected and actual results are the same
expect_equal(det_tbl_out, tibble::as_tibble(det_df_exp))
})
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