tdt <- data.table(
B_SOILTYPE_AGR = 'rivierklei',
B_GWL_CLASS = "II",
B_GWL_GLG = 75,
B_GWL_GHG = 10,
B_GWL_ZCRIT = 50,
B_SC_WENR = '2',
B_HELP_WENR = "MOb72",
B_AER_CBS = 'LG01',
B_LU_BRP = c( 1010, 1010,263,263, 263,265,265,265),
A_SOM_LOI = 3.91,
A_SAND_MI = 66.3,
A_SILT_MI = 22.8,
A_CLAY_MI = 7.8,
A_PH_CC = 5.4,
A_N_RT = 1528.33,
A_CN_FR = 13.02,
A_S_RT = 321.26,
A_N_PMN = 63.3,
A_P_AL = 50.2,
A_P_CC = 2.9,
A_P_WA = 50.5,
A_CEC_CO = 56.9,
A_CA_CO_PO = 66.87,
A_MG_CO_PO = 13.97,
A_K_CO_PO = 3.06,
A_K_CC = 58.6,
A_MG_CC = 77.53,
A_MN_CC = 7586.61,
A_ZN_CC = 726.2,
A_CU_CC = 68.8,
A_C_BCS = 1,
A_CC_BCS = 1,
A_GS_BCS = 1,
A_P_BCS = 1,
A_RD_BCS = 1,
A_EW_BCS = 1,
A_SS_BCS = 1,
A_RT_BCS = 1,
A_SC_BCS = 1,
M_COMPOST = 0,
M_GREEN = FALSE,
M_NONBARE =FALSE,
M_EARLYCROP = FALSE,
M_SLEEPHOSE = FALSE,
M_DRAIN = FALSE,
M_DITCH = FALSE,
M_UNDERSEED = FALSE,
M_LIME = FALSE,
M_MECHWEEDS = FALSE,
M_NONINVTILL = FALSE,
M_PESTICIDES_DST = FALSE,
M_SOLIDMANURE = FALSE,
M_SSPM = FALSE,
M_STRAWRESIDUE = FALSE,
ID = 1,
key = 'ID'
)
test_that("obic_field_dt works", {
expect_equal(
obic_field_dt(tdt),
expected = data.table(
ID = 1,
I_BCS = 0.369,
I_B_DI = 0.843,
I_B_SF = 0.965,
I_C_CEC = 0.569,
I_C_CU = 1,
I_C_K = 0.988,
I_C_MG = 0.991,
I_C_N = 0.836,
I_C_P = 0.961,
I_C_PH = 0.15,
I_C_S = 0.26,
I_C_ZN = 0.561,
I_E_NGW = 0.988,
I_E_NSW = 0.969,
#I_H_GWR = 0.626,
#I_H_NGW = 0.99,
#I_H_NSW = 0.989,
#I_H_PEST = 0.083,
I_M = 0.069,
I_M_BIODIVERSITY = 0.144,
I_M_CLIMATE = 0.113,
I_M_SOILFERTILITY = 0.144,
I_M_WATERQUALITY = 0.126,
I_P_CEC = 0.417,
I_P_CO = 0.333,
I_P_CR = 1,
I_P_DS = 0.99,
I_P_DU = 0.652,
I_P_SE = 0.93,
I_P_WO = 0.7,
I_P_WRI = 0.835,
I_P_WS = 0.11,
S_B_OBI_A = 0.9,
S_C_OBI_A = 0.537,
S_E_OBI_A = 0.979,
S_M_OBI_A = 0.069,
S_P_OBI_A = 0.474,
S_T_OBI_A = 0.592,
RM_C_1 = "M8",
RM_C_2 = "M1",
RM_C_3 = "M2",
RM_P_1 = "M6",
RM_P_2 = "M3",
RM_P_3 = "M1",
RM_B_1 = "M0",
RM_B_2 = "M0",
RM_B_3 = "M0",
key = "ID"
),
tolerance = 0.01
)
})
# get required column names, should be equal to dt.req in obic_field_dt()
req.cols <- c('B_SOILTYPE_AGR', 'B_GWL_CLASS', 'B_SC_WENR', 'B_HELP_WENR', 'B_AER_CBS',
'B_GWL_GLG', 'B_GWL_GHG', 'B_GWL_ZCRIT', 'B_LU_BRP', 'B_LU_BRP',
'A_SOM_LOI', 'A_SAND_MI', 'A_SILT_MI', 'A_CLAY_MI', 'A_PH_CC',
'A_N_RT', 'A_CN_FR', 'A_S_RT', 'A_N_PMN', 'A_P_AL', 'A_P_CC', 'A_P_WA',
'A_CEC_CO', 'A_CA_CO_PO', 'A_MG_CO_PO', 'A_K_CO_PO',
'A_K_CC', 'A_MG_CC', 'A_MN_CC', 'A_ZN_CC', 'A_CU_CC', 'ID')
# take subset of tdt
stdt <- tdt[,..req.cols]
test_that('obic_field_dt() works with just required columns', {
expect_equal(
obic_field_dt(stdt, output = "scores"),
expected =
data.table(
ID = 1,
S_B_OBI_A = 0.900,
S_C_OBI_A = 0.537,
S_E_OBI_A = 0.979,
S_M_OBI_A = 0.287,
S_P_OBI_A = 0.571,
S_T_OBI_A = 0.642,
key = 'ID'
),
tolerance = 0.01
)
})
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