data("sample_explan_data") data("sample_events_data") sample_occ_abs_data_fortest <- dplyr::sample_n(sample_explan_data, 3) test_that("stops if no sampling effort data provided", { expect_error( spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("identifies missing year col in survey effort df", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = subset( sample_events_data, select = -c(year), spatial.dist = 10000, temporal.dist = 20 ) )) }) test_that("identifies missing month col in survey effort df", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = subset( sample_events_data, select = -c(month), spatial.dist = 10000, temporal.dist = 20 ) )) }) test_that("identifies missing day col in survey effort df", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = subset( sample_events_data, select = -c(day), spatial.dist = 10000, temporal.dist = 20 ) )) }) test_that("identifies missing x col in survey effort df", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = subset( sample_events_data, select = -c(x), spatial.dist = 10000, temporal.dist = 20 ) )) }) test_that("identifies missing y col in survey effort df", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = subset( sample_events_data, select = -c(y), spatial.dist = 10000, temporal.dist = 20 ) )) }) test_that("identifies wrong year class in survey effort df", { wrong.class <- sample_events_data wrong.class$year <- as.character(wrong.class$year) expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = wrong.class, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("identifies wrong month class in survey effort df", { wrong.class <- sample_events_data wrong.class$month <- as.character(wrong.class$month) expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = wrong.class, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("identifies wrong day class in survey effort df", { wrong.class <- sample_events_data wrong.class$day <- as.character(wrong.class$day) expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = wrong.class, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("identifies wrong x class in survey effort df", { wrong.class <- sample_events_data wrong.class$x <- as.character(wrong.class$x) expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = wrong.class, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("identifies wrong y class in survey effort df", { wrong.class <- sample_events_data wrong.class$x <- as.character(wrong.class$x) expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = wrong.class, spatial.dist = 10000, temporal.dist = 20 ) ) }) test_that("stops if spatial.dist not class numeric", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = "300metres", temporal.dist = 20 ) ) }) test_that("stops if temporal.dist not class numeric", { expect_error( spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = 10000, temporal.dist = "twenty" ) ) }) test_that("stops if spatial.dist not length(1) numeric", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = c(200, 300, 400), temporal.dist = 20 ) ) }) test_that("stops if temporal.dist not length(1) numeric", { expect_error(spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = 10000, temporal.dist = c(20, 30, 40) ) ) }) test_that("Output is class data.frame", { results <- spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = 10000, temporal.dist = 20 ) expect_equal(class(results), "data.frame") }) test_that("Output is same nrows as input data.frame", { results <- spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = 10000, temporal.dist = 20 ) expect_equal(nrow(results), nrow(sample_occ_abs_data_fortest)) }) test_that("Output is adds two rows with sampling effort", { results <- spatiotemp_weights( occ.data = sample_occ_abs_data_fortest, samp.events = sample_events_data, spatial.dist = 10000, temporal.dist = 20 ) expect_equal(ncol(results), ncol(sample_occ_abs_data_fortest) + 2) })