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context("FOCUS Step 1 calculations")
t_out <- c(0, 1, 2, 4) # Checking the first four days should be sufficient for Step 1
test_that("Results of Steps 1/2 calculator for Dummy 1 are reproduced", {
dummy_1 <- chent_focus_sw(cwsat = 6000, DT50_ws = 6, Koc = 344.8)
res_dummy_1 <- PEC_sw_focus(dummy_1, 3000, f_drift = 0)
PEC_orig_1 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_1[, "PECsw"] = c(685.06, 610.32, 543.73, 431.56)
PEC_orig_1["1", "TWAECsw"] = 647.69 # Later TWAEC not implemented
PEC_orig_1[, "PECsed"] = c(2.36, 2.1, 1.87, 1.49) * 1e3
PEC_orig_1["1", "TWAECsed"] = 2.23e3 # Later TWAEC not implemented
expect_equal(res_dummy_1$PEC[1:4, c(1, 2)], PEC_orig_1[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_dummy_1$PEC[1:4, c(3, 4)], PEC_orig_1[, c(3, 4)], tolerance = 10, scale = 1)
})
test_that("Results of Steps 1/2 calculator for Dummy 2 are reproduced", {
dummy_2 <- chent_focus_sw(cwsat = 30, DT50_ws = 26, Koc = 110)
res_dummy_2 <- PEC_sw_focus(dummy_2, 1000)
PEC_orig_2 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_2[, "PECsw"] = c(299.89, 290.86, 283.21, 268.50)
PEC_orig_2["1", "TWAECsw"] = 295.38 # Later TWAEC not implemented
PEC_orig_2[, "PECsed"] = c(319.77, 319.95, 311.53, 295.35)
PEC_orig_2["1", "TWAECsed"] = 319.86 # Later TWAEC not implemented
expect_equal(res_dummy_2$PEC[1:4, c(1, 2)], PEC_orig_2[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_dummy_2$PEC[1:4, c(3, 4)], PEC_orig_2[, c(3, 4)], tolerance = 0.01, scale = 1)
})
test_that("Results of Steps 1/2 calculator for Dummy 4 are reproduced", {
dummy_4 <- chent_focus_sw(cwsat = 2e-3, DT50_ws = 4, Koc = 970)
res_dummy_4 <- PEC_sw_focus(dummy_4, 7.5, n = 3, i = 14,
scenario = "pome / stone fruit, early")
PEC_orig_4 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_4[, "PECsw"] = c(1.82, 1.18, 1.00, 0.70)
PEC_orig_4["1", "TWAECsw"] = 1.50 # Later TWAEC not implemented
PEC_orig_4[, "PECsed"] = c(10.57, 11.49, 9.66, 6.83)
PEC_orig_4["1", "TWAECsed"] = 11.03 # Later TWAEC not implemented
expect_equal(res_dummy_4$PEC[1:4, c(1, 2)], PEC_orig_4[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_dummy_4$PEC[1:4, c(3, 4)], PEC_orig_4[, c(3, 4)], tolerance = 0.01, scale = 1)
})
test_that("Results of Steps 1/2 calculator for Dummy 5 are reproduced", {
dummy_5 <- chent_focus_sw(cwsat = 1.15, DT50_ws = 118, Koc = 860)
res_dummy_5 <- PEC_sw_focus(dummy_5, 75, n = 5, i = 14,
scenario = "vines, early")
PEC_orig_5 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_5[, "PECsw"] = c(61.60, 59.45, 59.10, 58.41)
PEC_orig_5["1", "TWAECsw"] = 60.53 # Later TWAEC not implemented
PEC_orig_5[, "PECsed"] = c(500.78, 511.28, 508.29, 502.35)
PEC_orig_5["1", "TWAECsed"] = 506.03 # Later TWAEC not implemented
expect_equal(res_dummy_5$PEC[1:4, c(1, 2)], PEC_orig_5[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_dummy_5$PEC[1:4, c(3, 4)], PEC_orig_5[, c(3, 4)], tolerance = 0.01, scale = 1)
})
test_that("Results of Steps 1/2 calculator for Dummy 7 are reproduced", {
dummy_7 <- chent_focus_sw(cwsat = 2.60, DT50_ws = 28, Koc = 500)
res_dummy_7 <- PEC_sw_focus(dummy_7, 750, n = 4, i = 14,
scenario = "vines, early")
PEC_orig_7 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_7[, "PECsw"] = c(626.99, 601.13, 586.43, 558.10)
PEC_orig_7["1", "TWAECsw"] = 614.06 # Later TWAEC not implemented
PEC_orig_7[, "PECsed"] = c(3.0, 3.01, 2.93, 2.79) * 1e3
PEC_orig_7["1", "TWAECsed"] = 3.01e3 # Later TWAEC not implemented
expect_equal(res_dummy_7$PEC[1:4, c(1, 2)], PEC_orig_7[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_dummy_7$PEC[1:4, c(3, 4)], PEC_orig_7[, c(3, 4)], tolerance = 10, scale = 1)
})
test_that("Results of Steps 1/2 calculator for New Dummy (M1-M3) are reproduced", {
new_dummy <- chent_focus_sw(mw = 250, Koc = 100)
M1 <- chent_focus_sw(mw = 100, cwsat = 100, DT50_ws = 100, Koc = 50, max_ws = 0, max_soil = 0.5)
res_M1 <- PEC_sw_focus(new_dummy, 1000, scenario = "cereals, winter",
met = M1)
PEC_orig_M1 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_M1[, "PECsw"] = c(62.5, 62.07, 61.64, 60.79)
PEC_orig_M1["1", "TWAECsw"] = 62.28 # Later TWAEC not implemented
PEC_orig_M1[, "PECsed"] = c(31.25, 31.03, 30.82, 30.40)
PEC_orig_M1["1", "TWAECsed"] = 31.14 # Later TWAEC not implemented
expect_equal(res_M1$PEC[1:4, c(1, 2)], PEC_orig_M1[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_M1$PEC[1:4, c(3, 4)], PEC_orig_M1[, c(3, 4)], tolerance = 0.01, scale = 1)
M2 <- chent_focus_sw(mw = 100, cwsat = 100, DT50_ws = 100, Koc = 50, max_ws = 0.5, max_soil = 0)
res_M2 <- PEC_sw_focus(new_dummy, 1000, scenario = "cereals, winter",
met = M2)
PEC_orig_M2 = matrix(NA, nrow = length(t_out), ncol = 4,
dimnames = list(Time = t_out, type = c("PECsw", "TWAECsw", "PECsed", "TWAECsed")))
PEC_orig_M2[, "PECsw"] = c(64.34, 63.78, 63.34, 62.47)
PEC_orig_M2["1", "TWAECsw"] = 64.06 # Later TWAEC not implemented
PEC_orig_M2[, "PECsed"] = c(31.25, 31.89, 31.67, 31.23)
PEC_orig_M2["1", "TWAECsed"] = 31.57 # Later TWAEC not implemented
expect_equal(res_M2$PEC[1:4, c(1, 2)], PEC_orig_M2[, c(1, 2)], tolerance = 0.01, scale = 1)
expect_equal(res_M2$PEC[1:4, c(3, 4)], PEC_orig_M2[, c(3, 4)], tolerance = 0.01, scale = 1)
})
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