tests/testthat/test-annualGrowthRateCalculator.R
In bcgov/BCForestGroundSample: BC forest ground sample compilation
test_that("annualGrowthRateCalculator.R: annual growth rate is not correctly calculated.", {
library(data.table)
library(testthat)
## test warning
expect_warning(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = 20,
growthYear = 5,
barkThickness = as.numeric(NA)))
## test error
expect_error(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = 20,
growthYear = 5,
barkThickness = -5))
expect_error(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = -5,
growthYear = 5,
barkThickness = 5))
## check missing barkThickness, in which case it is assigned with 0.05
boredDiameter <- sample(1:100, size = 10)
growthIncrement <- sample(1:20, size = 10)
growthYear <- sample(c(5, 10), size = 10, replace = TRUE)
barkThickness1 <- c(NA, seq(0.1, 0.6, by = 0.1), NA, NA, NA)
barkThickness2 <- c(0.05, seq(0.1, 0.6, by = 0.1), 0.05, 0.05, 0.05)
growthrate1 <- suppressWarnings(annualGrowthRateCalculator(boredDiameter = boredDiameter,
growthIncrement = growthIncrement,
growthYear = growthYear,
barkThickness = barkThickness1))
growthrate2 <- annualGrowthRateCalculator(boredDiameter = boredDiameter,
growthIncrement = growthIncrement,
growthYear = growthYear,
barkThickness = barkThickness2)
expect_equal(growthrate1, growthrate2)
## check the outputs against sas outputs
randomsasoutputs <- data.table(CLSTR_ID = c("DBO1-0086-Q 1", "DDCX-0050-OO1",
"0201-0016-QO1", "0141-0053-TO1", "3251-0015-O 1", "LGMA-0119-Q 1",
"0111-0028-QR1", "3433-0012-DO1", "3252-0549-Q 1", "0223-0268-MO1",
"0231-0207-QO1", "3011-0104-QO1", "4792-0021-MO1", "CFP2-0110-YO1",
"3061-0029-DO1", "024S-0244-ZO1", "DDC1-0082-OO1", "0241-0237-ZO1",
"0111-0070-QO1", "DLL1-0094-QO1"),
PLOT = c("I", "I", "N", "I", "S", "N", "N", "N",
"I", "I", "I", "I", "I", "I", "N", "I", "I", "I", "E", "I"),
TREE_NO = c("005",
"002", "008", "002", "003", "003", "002", "008", "005", "529",
"001", "001", "161", "748", "007", "099", "012", "005", "003",
"004"),
BARK_THK = c(3,
2, 1.565, 6, 7, 66, 25, 17, 10, 0.84, 3.135, 3, 0.55, 0.275,
12, 11, 2, 5, 24, 6),
BNG_DIAM = c(13.7,
8.3, 31.3, 19.7, 28.2, 64.7, 34.2, 57, 39.3, 16.8, 62.7,
6.3, 11, 5.5, 38.4, 33.5, 12, 22.8, 36.7, 17.2),
GROW_5YR = c(3, 3, 3, 7, 5, 2, 3, 3, 6, 10, 1,
16, 14, 15, 11, 8, 5, 2, 2, 2),
GROW_10Y = c(7, 7, 5, 14, 12, 4, 7, 6, 12, 18,
2, 26, 32, 25, 26, 23, 9, 4, 4, 4),
GROW_20Y = c(16, 20, 11, 26, 24, 9, 12, 12, 22,
46, 6, NA, NA, NA, 54, 42, 18, 7, 11, 8),
RATE_5 = c(0.01893, 0.0321, 0.007852, 0.031978,
0.015327, 0.003124, 0.008339, 0.004513, 0.013166, 0.052583,
0.001292, 0.390509, 0.126242, 0.377487, 0.025544, 0.02121,
0.036719, 0.007435, 0.00506, 0.010179),
RATE_10 = c(0.022862, 0.039783, 0.006582, 0.033367,
0.018941, 0.003136, 0.009875, 0.004539, 0.01339, 0.049994,
0.001294, 0.626975, 0.193868, 0.650166, 0.031693, 0.032302,
0.0343, 0.007506, 0.005093, 0.010311),
RATE_20 = c(0.028404, 0.07314, 0.007392, 0.033551,
0.019932, 0.003564, 0.008614, 0.004591, 0.012631, 0.083887,
0.001954, NA, NA, NA, 0.036311, 0.031741, 0.037855, 0.00666,
0.007171, 0.010592))
# CLSTR_ID PLOT TREE_NO BARK_THK BNG_DIAM GROW_5YR GROW_10Y GROW_20Y
# 1: DBO1-0086-Q 1 I 005 3.000 13.7 3 7 16
# 2: DDCX-0050-OO1 I 002 2.000 8.3 3 7 20
# 3: 0201-0016-QO1 N 008 1.565 31.3 3 5 11
# 4: 0141-0053-TO1 I 002 6.000 19.7 7 14 26
# 5: 3251-0015-O 1 S 003 7.000 28.2 5 12 24
# 6: LGMA-0119-Q 1 N 003 66.000 64.7 2 4 9
# 7: 0111-0028-QR1 N 002 25.000 34.2 3 7 12
# 8: 3433-0012-DO1 N 008 17.000 57.0 3 6 12
# 9: 3252-0549-Q 1 I 005 10.000 39.3 6 12 22
# 10: 0223-0268-MO1 I 529 0.840 16.8 10 18 46
# 11: 0231-0207-QO1 I 001 3.135 62.7 1 2 6
# 12: 3011-0104-QO1 I 001 3.000 6.3 16 26 NA
# 13: 4792-0021-MO1 I 161 0.550 11.0 14 32 NA
# 14: CFP2-0110-YO1 I 748 0.275 5.5 15 25 NA
# 15: 3061-0029-DO1 N 007 12.000 38.4 11 26 54
# 16: 024S-0244-ZO1 I 099 11.000 33.5 8 23 42
# 17: DDC1-0082-OO1 I 012 2.000 12.0 5 9 18
# 18: 0241-0237-ZO1 I 005 5.000 22.8 2 4 7
# 19: 0111-0070-QO1 E 003 24.000 36.7 2 4 11
# 20: DLL1-0094-QO1 I 004 6.000 17.2 2 4 8
# RATE_5 RATE_10 RATE_20
# 1: 0.018930 0.022862 0.028404
# 2: 0.032100 0.039783 0.073140
# 3: 0.007852 0.006582 0.007392
# 4: 0.031978 0.033367 0.033551
# 5: 0.015327 0.018941 0.019932
# 6: 0.003124 0.003136 0.003564
# 7: 0.008339 0.009875 0.008614
# 8: 0.004513 0.004539 0.004591
# 9: 0.013166 0.013390 0.012631
# 10: 0.052583 0.049994 0.083887
# 11: 0.001292 0.001294 0.001954
# 12: 0.390509 0.626975 NA
# 13: 0.126242 0.193868 NA
# 14: 0.377487 0.650166 NA
# 15: 0.025544 0.031693 0.036311
# 16: 0.021210 0.032302 0.031741
# 17: 0.036719 0.034300 0.037855
# 18: 0.007435 0.007506 0.006660
# 19: 0.005060 0.005093 0.007171
# 20: 0.010179 0.010311 0.010592
randomsasoutputs[,':='(r_RATE_5 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_5YR,
growthYear = 5,
barkThickness = BARK_THK), 6),
r_RATE_10 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_10Y,
growthYear = 10,
barkThickness = BARK_THK), 6),
r_RATE_20 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_20Y,
growthYear = 20,
barkThickness = BARK_THK), 6))]
expect_equal(randomsasoutputs$RATE_5, randomsasoutputs$r_RATE_5)
expect_equal(randomsasoutputs$RATE_10, randomsasoutputs$r_RATE_10)
expect_equal(randomsasoutputs$RATE_20, randomsasoutputs$r_RATE_20)
})
bcgov/BCForestGroundSample documentation built on May 25, 2019, 3:21 p.m.
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test_that("annualGrowthRateCalculator.R: annual growth rate is not correctly calculated.", {
library(data.table)
library(testthat)
## test warning
expect_warning(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = 20,
growthYear = 5,
barkThickness = as.numeric(NA)))
## test error
expect_error(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = 20,
growthYear = 5,
barkThickness = -5))
expect_error(annualGrowthRateCalculator(boredDiameter = 10,
growthIncrement = -5,
growthYear = 5,
barkThickness = 5))
## check missing barkThickness, in which case it is assigned with 0.05
boredDiameter <- sample(1:100, size = 10)
growthIncrement <- sample(1:20, size = 10)
growthYear <- sample(c(5, 10), size = 10, replace = TRUE)
barkThickness1 <- c(NA, seq(0.1, 0.6, by = 0.1), NA, NA, NA)
barkThickness2 <- c(0.05, seq(0.1, 0.6, by = 0.1), 0.05, 0.05, 0.05)
growthrate1 <- suppressWarnings(annualGrowthRateCalculator(boredDiameter = boredDiameter,
growthIncrement = growthIncrement,
growthYear = growthYear,
barkThickness = barkThickness1))
growthrate2 <- annualGrowthRateCalculator(boredDiameter = boredDiameter,
growthIncrement = growthIncrement,
growthYear = growthYear,
barkThickness = barkThickness2)
expect_equal(growthrate1, growthrate2)
## check the outputs against sas outputs
randomsasoutputs <- data.table(CLSTR_ID = c("DBO1-0086-Q 1", "DDCX-0050-OO1",
"0201-0016-QO1", "0141-0053-TO1", "3251-0015-O 1", "LGMA-0119-Q 1",
"0111-0028-QR1", "3433-0012-DO1", "3252-0549-Q 1", "0223-0268-MO1",
"0231-0207-QO1", "3011-0104-QO1", "4792-0021-MO1", "CFP2-0110-YO1",
"3061-0029-DO1", "024S-0244-ZO1", "DDC1-0082-OO1", "0241-0237-ZO1",
"0111-0070-QO1", "DLL1-0094-QO1"),
PLOT = c("I", "I", "N", "I", "S", "N", "N", "N",
"I", "I", "I", "I", "I", "I", "N", "I", "I", "I", "E", "I"),
TREE_NO = c("005",
"002", "008", "002", "003", "003", "002", "008", "005", "529",
"001", "001", "161", "748", "007", "099", "012", "005", "003",
"004"),
BARK_THK = c(3,
2, 1.565, 6, 7, 66, 25, 17, 10, 0.84, 3.135, 3, 0.55, 0.275,
12, 11, 2, 5, 24, 6),
BNG_DIAM = c(13.7,
8.3, 31.3, 19.7, 28.2, 64.7, 34.2, 57, 39.3, 16.8, 62.7,
6.3, 11, 5.5, 38.4, 33.5, 12, 22.8, 36.7, 17.2),
GROW_5YR = c(3, 3, 3, 7, 5, 2, 3, 3, 6, 10, 1,
16, 14, 15, 11, 8, 5, 2, 2, 2),
GROW_10Y = c(7, 7, 5, 14, 12, 4, 7, 6, 12, 18,
2, 26, 32, 25, 26, 23, 9, 4, 4, 4),
GROW_20Y = c(16, 20, 11, 26, 24, 9, 12, 12, 22,
46, 6, NA, NA, NA, 54, 42, 18, 7, 11, 8),
RATE_5 = c(0.01893, 0.0321, 0.007852, 0.031978,
0.015327, 0.003124, 0.008339, 0.004513, 0.013166, 0.052583,
0.001292, 0.390509, 0.126242, 0.377487, 0.025544, 0.02121,
0.036719, 0.007435, 0.00506, 0.010179),
RATE_10 = c(0.022862, 0.039783, 0.006582, 0.033367,
0.018941, 0.003136, 0.009875, 0.004539, 0.01339, 0.049994,
0.001294, 0.626975, 0.193868, 0.650166, 0.031693, 0.032302,
0.0343, 0.007506, 0.005093, 0.010311),
RATE_20 = c(0.028404, 0.07314, 0.007392, 0.033551,
0.019932, 0.003564, 0.008614, 0.004591, 0.012631, 0.083887,
0.001954, NA, NA, NA, 0.036311, 0.031741, 0.037855, 0.00666,
0.007171, 0.010592))
# CLSTR_ID PLOT TREE_NO BARK_THK BNG_DIAM GROW_5YR GROW_10Y GROW_20Y
# 1: DBO1-0086-Q 1 I 005 3.000 13.7 3 7 16
# 2: DDCX-0050-OO1 I 002 2.000 8.3 3 7 20
# 3: 0201-0016-QO1 N 008 1.565 31.3 3 5 11
# 4: 0141-0053-TO1 I 002 6.000 19.7 7 14 26
# 5: 3251-0015-O 1 S 003 7.000 28.2 5 12 24
# 6: LGMA-0119-Q 1 N 003 66.000 64.7 2 4 9
# 7: 0111-0028-QR1 N 002 25.000 34.2 3 7 12
# 8: 3433-0012-DO1 N 008 17.000 57.0 3 6 12
# 9: 3252-0549-Q 1 I 005 10.000 39.3 6 12 22
# 10: 0223-0268-MO1 I 529 0.840 16.8 10 18 46
# 11: 0231-0207-QO1 I 001 3.135 62.7 1 2 6
# 12: 3011-0104-QO1 I 001 3.000 6.3 16 26 NA
# 13: 4792-0021-MO1 I 161 0.550 11.0 14 32 NA
# 14: CFP2-0110-YO1 I 748 0.275 5.5 15 25 NA
# 15: 3061-0029-DO1 N 007 12.000 38.4 11 26 54
# 16: 024S-0244-ZO1 I 099 11.000 33.5 8 23 42
# 17: DDC1-0082-OO1 I 012 2.000 12.0 5 9 18
# 18: 0241-0237-ZO1 I 005 5.000 22.8 2 4 7
# 19: 0111-0070-QO1 E 003 24.000 36.7 2 4 11
# 20: DLL1-0094-QO1 I 004 6.000 17.2 2 4 8
# RATE_5 RATE_10 RATE_20
# 1: 0.018930 0.022862 0.028404
# 2: 0.032100 0.039783 0.073140
# 3: 0.007852 0.006582 0.007392
# 4: 0.031978 0.033367 0.033551
# 5: 0.015327 0.018941 0.019932
# 6: 0.003124 0.003136 0.003564
# 7: 0.008339 0.009875 0.008614
# 8: 0.004513 0.004539 0.004591
# 9: 0.013166 0.013390 0.012631
# 10: 0.052583 0.049994 0.083887
# 11: 0.001292 0.001294 0.001954
# 12: 0.390509 0.626975 NA
# 13: 0.126242 0.193868 NA
# 14: 0.377487 0.650166 NA
# 15: 0.025544 0.031693 0.036311
# 16: 0.021210 0.032302 0.031741
# 17: 0.036719 0.034300 0.037855
# 18: 0.007435 0.007506 0.006660
# 19: 0.005060 0.005093 0.007171
# 20: 0.010179 0.010311 0.010592
randomsasoutputs[,':='(r_RATE_5 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_5YR,
growthYear = 5,
barkThickness = BARK_THK), 6),
r_RATE_10 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_10Y,
growthYear = 10,
barkThickness = BARK_THK), 6),
r_RATE_20 = round(annualGrowthRateCalculator(boredDiameter = BNG_DIAM,
growthIncrement = GROW_20Y,
growthYear = 20,
barkThickness = BARK_THK), 6))]
expect_equal(randomsasoutputs$RATE_5, randomsasoutputs$r_RATE_5)
expect_equal(randomsasoutputs$RATE_10, randomsasoutputs$r_RATE_10)
expect_equal(randomsasoutputs$RATE_20, randomsasoutputs$r_RATE_20)
})
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