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-rw-r--r--tests/testthat/test_PEC_sw_drift.R29
1 files changed, 27 insertions, 2 deletions
diff --git a/tests/testthat/test_PEC_sw_drift.R b/tests/testthat/test_PEC_sw_drift.R
index 1bcb3d4..5d343d0 100644
--- a/tests/testthat/test_PEC_sw_drift.R
+++ b/tests/testthat/test_PEC_sw_drift.R
@@ -35,7 +35,32 @@ test_that("The Rautmann formula is correctly implemented", {
expect_equal(pfm_jki, pfm_rf, tolerance = 0.01)
expect_error(PEC_sw_drift(100, drift_data = "RF", applications = 10), "Only 1 to 8 applications")
- expect_error(PEC_sw_drift(100, drift_data = "RF", applications = 1, crop_group_RF = "Obstbau spaet"),
- "should be one of")
+
+ expect_error(PEC_sw_drift(100, drift_data = "RF", applications = 1, crop_group_RF = "Obstbau spaet"))
expect_silent(PEC_sw_drift(100, drift_data = "RF", applications = 1, crop_group_RF = "fruit, late"))
})
+
+test_that("The function is vectorised also with respect to crop groups", {
+ res_vec_1 <- PEC_sw_drift(
+ rate = rep(100, 6),
+ applications = c(1, 2, rep(1, 4)),
+ water_depth = c(30, 30, 30, 60, 30, 30),
+ crop_group_JKI = c(rep("Ackerbau", 4), rep("Obstbau frueh", 2)),
+ distances = c(rep(5, 4), 10, 5))
+ expect_equal(
+ round(res_vec_1, 3),
+ set_units(c('5 m' = 0.190, '5 m' = 0.157, '5 m' = 0.190, '5 m' = 0.095, '10 m' = 3.937, '5 m' = 6.630), "\u00B5g/L"))
+
+ # Try the same with the Rautmann formula, results are slightly different
+ res_vec_2 <- PEC_sw_drift(
+ rate = rep(100, 6),
+ applications = c(1, 2, rep(1, 4)),
+ water_depth = c(30, 30, 30, 60, 30, 30),
+ drift_data = "RF",
+ crop_group_RF = c(rep("arable", 4), rep("fruit, early", 2)),
+ distances = c(rep(5, 4), 10, 5))
+ expect_equal(
+ round(res_vec_2, 3),
+ set_units(c('5 m' = 0.191, '5 m' = 0.160, '5 m' = 0.191, '5 m' = 0.095, '10 m' = 3.936, '5 m' = 6.628), "\u00B5g/L"))
+
+})

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