tests/testthat/test02_initiatie.R
In inbo/dhcurve: Automated Modelling of Diameter Height Curves for Trees
context("test initiatie")
describe("initiatie", {
wd <- getwd()
test_wd <- tempdir()
setwd(test_wd)
library(dplyr)
Dataset <- data.frame(DOMEIN_ID = c(rep("Bos1", 155),
rep("Bos2", 110),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 100),
rep("BosKlein", 15)),
BOS_BHI = c(rep("Bos1", 155),
rep("Bos2", 110),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 100),
rep("BosKlein", 15)),
BMS = c(rep("SoortModel", 55),
rep("SoortExtra", 55),
rep("SoortNiet", 45),
rep("SoortModel", 55),
rep("SoortExtra", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortExtra", 45),
rep("SoortModel", 15)),
IDbms = c(rep(1, 55),
rep(2, 55),
rep(3, 45),
rep(1, 55),
rep(2, 55),
rep(1, 55),
rep(1, 55),
rep(1, 55),
rep(1, 55),
rep(2, 45),
rep(1, 15)),
C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
stringsAsFactors = FALSE)
Resultaat1 <- data.frame(nBomenInterval = 55,
nBomenIntervalOmtrek05 = 55)
Resultaat2 <- data.frame(C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
Omtrek = 1.05,
stringsAsFactors = FALSE)
Resultaat3 <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 55,
nBomenOmtrek05 = 55,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
Resultaat3rest <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 45,
nBomenOmtrek05 = 45,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
Resultaat3uitz <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
nBomenOmtrek05 = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
it("initiatie() geeft geen warnings", {
expect_no_warning(initiatie(Dataset))
})
it("Dataset wordt correct opgedeeld", {
expect_is(
Output <- initiatie(Dataset),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("BosKlein", 15)),
nBomenInterval = 15,
nBomenIntervalOmtrek05 = 15,
BOS_BHI = c(rep("BosKlein", 15)),
IDbms = 1,
C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
Omtrek = 1.05,
Rijnr = c(531:545),
logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 15,
nBomenOmtrek05 = 15,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55)),
IDbms = 2,
Resultaat2,
Rijnr = c(56:110, 211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortNiet", 45),
rep("SoortExtra", 45)),
DOMEIN_ID = c(rep("Bos1", 45),
rep("Bos6", 45)),
nBomenInterval = 45,
nBomenIntervalOmtrek05 = 45,
BOS_BHI = c(rep("Bos1", 45),
rep("Bos6", 45)),
IDbms = c(rep(3, 45),
rep(2, 45)),
Resultaat2,
Rijnr = c(111:155, 486:530),
Resultaat3rest,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
it("Uitzonderingen worden correct afgehandeld", {
expect_is(
Output <- initiatie(Dataset,
data.frame(DOMEIN_ID = c("Bos1", "BosKlein"),
BMS = c("SoortExtra", "SoortModel"),
min_basis = c(65, NA),
min_afgeleid = c(NA, 25),
stringsAsFactors = FALSE)),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = character(),
DOMEIN_ID = character(),
nBomenInterval = integer(),
nBomenIntervalOmtrek05 = integer(),
BOS_BHI = character(),
IDbms = double(),
C13 = double(),
HOOGTE = double(),
Status = character(),
Omtrek = double(),
Rijnr = integer(),
logOmtrek = double(),
logOmtrek2 = double(),
nBomen = integer(),
nBomenOmtrek05 = integer(),
Q5 = double(),
Q5k = double(),
Q95 = double(),
Q95k = double(),
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos2", 55)),
IDbms = 2,
Resultaat2,
Rijnr = c(211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortNiet", 45),
rep("SoortExtra", 100),
rep("SoortModel", 15)),
DOMEIN_ID = c(rep("Bos1", 100),
rep("Bos6", 45),
rep("BosKlein", 15)),
nBomenInterval = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
nBomenIntervalOmtrek05 = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
BOS_BHI = c(rep("Bos1", 100),
rep("Bos6", 45),
rep("BosKlein", 15)),
IDbms = c(rep(3, 45),
rep(2, 100),
rep(1, 15)),
Resultaat2,
Rijnr = c(111:155, 56:110, 486:530, 531:545),
Resultaat3uitz,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
Dataset$Status <-
ifelse(Dataset$DOMEIN_ID == "BosKlein", "Goedgekeurd", "Niet gecontroleerd")
Resultaat2status <- data.frame(C13 = 100,
HOOGTE = 20,
Status = "Niet gecontroleerd",
Omtrek = 1.05,
stringsAsFactors = FALSE)
it("Dataset mag enkel goedgekeurde gegevens bevatten", {
expect_is(
Output <- initiatie(Dataset),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2status,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("BosKlein", 15)),
nBomenInterval = 15,
nBomenIntervalOmtrek05 = 15,
BOS_BHI = c(rep("BosKlein", 15)),
IDbms = 1,
C13 = 100,
HOOGTE = 20,
Status = "Goedgekeurd",
Omtrek = 1.05,
Rijnr = c(531:545),
logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 15,
nBomenOmtrek05 = 15,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55)),
IDbms = 2,
Resultaat2status,
Rijnr = c(56:110, 211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortExtra", 45),
rep("SoortNiet", 45)),
DOMEIN_ID = c(rep("Bos6", 45),
rep("Bos1", 45)),
nBomenInterval = 45,
nBomenIntervalOmtrek05 = 45,
BOS_BHI = c(rep("Bos6", 45),
rep("Bos1", 45)),
IDbms = c(rep(2, 45),
rep(3, 45)),
Resultaat2status,
Rijnr = c(486:530, 111:155),
Resultaat3rest,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
it("De bestandsnaam moet eindigen op .html", {
expect_error(initiatie(Dataset, Bestandsnaam = "Fout.htlm"),
"De bestandnaam moet eindigen op '.html'")
})
it("Dataset mag geen afgekeurde gegevens bevatten", {
Dataset$Status <-
ifelse(Dataset$DOMEIN_ID == "BosKlein", "Afgekeurd", "Niet gecontroleerd")
expect_error(initiatie(Dataset),
"De kolom Status in de dataframe heeft niet voor alle records een geldige waarde. Zorg dat enkel de waarden 'Niet gecontroleerd', 'Te controleren' en 'Goedgekeurd' voorkomen.") #nolint: line_length_linter
})
it("Hoge omtrekklassen worden correct afgehandeld (uitbreidingen)", {
Dataset <- Dataset %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BOS_BHI = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BMS = c(rep("SoortModel", 35), rep("SoortExtra", 20)),
IDbms = c(rep(1, 35), rep(2, 20)),
C13 = 210,
HOOGTE = 30,
Status = "Te controleren"
)
) %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BOS_BHI = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BMS = c(rep("SoortModel", 35), rep("SoortExtra", 20)),
IDbms = c(rep(1, 35), rep(2, 20)),
C13 = 270,
HOOGTE = 40,
Status = "Te controleren"
)
)
Output <- initiatie(Dataset)
expect_equal(
Output[["Basis"]] %>%
filter(!VoorModelFit) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
Output[["Lokaal"]] %>%
filter((!VoorModelFit)) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
Uitzonderingen <-
data.frame(DOMEIN_ID = c("Bos1", "Bos1"),
BMS = c("SoortModel", "SoortExtra"),
min_basis = NA,
min_afgeleid = NA,
min_uitbreiden_model = 14,
stringsAsFactors = FALSE)
Output <- initiatie(Dataset, Uitzonderingen)
expect_equal(
Output[["Basis"]] %>%
filter(!VoorModelFit) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
Output[["Lokaal"]] %>%
filter((!VoorModelFit)) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
Uitzonderingen <- Uitzonderingen %>%
bind_rows(
data.frame(DOMEIN_ID = "BosKlein", BMS = "SoortModel",
stringsAsFactors = FALSE)
) %>%
mutate(
min_uitbreiden_model = 16
)
expect_warning(
Output <- initiatie(Dataset, Uitzonderingen),
"min_uitbreiden_model opgegeven voor afgeleid model, dit zal genegeerd worden \\(bij afgeleide modellen worden alle gegevens meegenomen\\)" #nolint: line_length_linter
)
expect_equal(
nrow(Output[["Basis"]] %>%
filter(!VoorModelFit)),
0
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
nrow(Output[["Lokaal"]] %>%
filter(!VoorModelFit)),
0
)
})
it("Hoge/lage omtrekklassen worden correct verwijderd", {
Dataset2 <- Dataset %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 2), rep("BosKlein", 2), rep("Bos1", 2)),
BOS_BHI = c(rep("Bos1", 2), rep("BosKlein", 2), rep("Bos1", 2)),
BMS = c(rep("SoortModel", 4), rep("SoortExtra", 2)),
IDbms = c(rep(1, 4), rep(2, 2)),
C13 = c(48, 305, 48, 285, 48, 305),
HOOGTE = c(10, 40),
Status = "Te controleren"
)
)
Output <- initiatie(Dataset)
expect_message(
Output2 <- initiatie(Dataset2),
regexp = "Het rapport is opgeslagen in de working directory"
)
expect_equal(
Output[["Basis"]] %>%
select(-"nBomen"),
Output2[["Basis"]] %>%
select(-"nBomen")
)
expect_equal(
Output[["Afgeleid"]] %>%
select(-"nBomen", -"nBomenInterval", -"Q5", -"Q5k"),
Output2[["Afgeleid"]] %>%
select(-"nBomen", -"nBomenInterval", -"Q5", -"Q5k")
)
expect_equal(
Output[["Lokaal"]] %>%
select(-"nBomen"),
Output2[["Lokaal"]] %>%
select(-"nBomen")
)
})
setwd(wd)
})
inbo/dhcurve documentation built on April 6, 2023, 5:17 a.m.
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context("test initiatie")
describe("initiatie", {
wd <- getwd()
test_wd <- tempdir()
setwd(test_wd)
library(dplyr)
Dataset <- data.frame(DOMEIN_ID = c(rep("Bos1", 155),
rep("Bos2", 110),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 100),
rep("BosKlein", 15)),
BOS_BHI = c(rep("Bos1", 155),
rep("Bos2", 110),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 100),
rep("BosKlein", 15)),
BMS = c(rep("SoortModel", 55),
rep("SoortExtra", 55),
rep("SoortNiet", 45),
rep("SoortModel", 55),
rep("SoortExtra", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortModel", 55),
rep("SoortExtra", 45),
rep("SoortModel", 15)),
IDbms = c(rep(1, 55),
rep(2, 55),
rep(3, 45),
rep(1, 55),
rep(2, 55),
rep(1, 55),
rep(1, 55),
rep(1, 55),
rep(1, 55),
rep(2, 45),
rep(1, 15)),
C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
stringsAsFactors = FALSE)
Resultaat1 <- data.frame(nBomenInterval = 55,
nBomenIntervalOmtrek05 = 55)
Resultaat2 <- data.frame(C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
Omtrek = 1.05,
stringsAsFactors = FALSE)
Resultaat3 <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 55,
nBomenOmtrek05 = 55,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
Resultaat3rest <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 45,
nBomenOmtrek05 = 45,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
Resultaat3uitz <- data.frame(logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
nBomenOmtrek05 = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15)
it("initiatie() geeft geen warnings", {
expect_no_warning(initiatie(Dataset))
})
it("Dataset wordt correct opgedeeld", {
expect_is(
Output <- initiatie(Dataset),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("BosKlein", 15)),
nBomenInterval = 15,
nBomenIntervalOmtrek05 = 15,
BOS_BHI = c(rep("BosKlein", 15)),
IDbms = 1,
C13 = 100,
HOOGTE = 20,
Status = "Te controleren",
Omtrek = 1.05,
Rijnr = c(531:545),
logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 15,
nBomenOmtrek05 = 15,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55)),
IDbms = 2,
Resultaat2,
Rijnr = c(56:110, 211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortNiet", 45),
rep("SoortExtra", 45)),
DOMEIN_ID = c(rep("Bos1", 45),
rep("Bos6", 45)),
nBomenInterval = 45,
nBomenIntervalOmtrek05 = 45,
BOS_BHI = c(rep("Bos1", 45),
rep("Bos6", 45)),
IDbms = c(rep(3, 45),
rep(2, 45)),
Resultaat2,
Rijnr = c(111:155, 486:530),
Resultaat3rest,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
it("Uitzonderingen worden correct afgehandeld", {
expect_is(
Output <- initiatie(Dataset,
data.frame(DOMEIN_ID = c("Bos1", "BosKlein"),
BMS = c("SoortExtra", "SoortModel"),
min_basis = c(65, NA),
min_afgeleid = c(NA, 25),
stringsAsFactors = FALSE)),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = character(),
DOMEIN_ID = character(),
nBomenInterval = integer(),
nBomenIntervalOmtrek05 = integer(),
BOS_BHI = character(),
IDbms = double(),
C13 = double(),
HOOGTE = double(),
Status = character(),
Omtrek = double(),
Rijnr = integer(),
logOmtrek = double(),
logOmtrek2 = double(),
nBomen = integer(),
nBomenOmtrek05 = integer(),
Q5 = double(),
Q5k = double(),
Q95 = double(),
Q95k = double(),
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos2", 55)),
IDbms = 2,
Resultaat2,
Rijnr = c(211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortNiet", 45),
rep("SoortExtra", 100),
rep("SoortModel", 15)),
DOMEIN_ID = c(rep("Bos1", 100),
rep("Bos6", 45),
rep("BosKlein", 15)),
nBomenInterval = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
nBomenIntervalOmtrek05 = c(rep(45, 45),
rep(55, 55),
rep(45, 45),
rep(15, 15)),
BOS_BHI = c(rep("Bos1", 100),
rep("Bos6", 45),
rep("BosKlein", 15)),
IDbms = c(rep(3, 45),
rep(2, 100),
rep(1, 15)),
Resultaat2,
Rijnr = c(111:155, 56:110, 486:530, 531:545),
Resultaat3uitz,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
Dataset$Status <-
ifelse(Dataset$DOMEIN_ID == "BosKlein", "Goedgekeurd", "Niet gecontroleerd")
Resultaat2status <- data.frame(C13 = 100,
HOOGTE = 20,
Status = "Niet gecontroleerd",
Omtrek = 1.05,
stringsAsFactors = FALSE)
it("Dataset mag enkel goedgekeurde gegevens bevatten", {
expect_is(
Output <- initiatie(Dataset),
"list"
)
for (i in c("Basis", "Afgeleid", "Lokaal", "Rest")) {
attr(Output[[i]]$Q5, "names") <- NULL
attr(Output[[i]]$Q5k, "names") <- NULL
attr(Output[[i]]$Q95, "names") <- NULL
attr(Output[[i]]$Q95k, "names") <- NULL
}
expect_equal(as.data.frame(Output[["Basis"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55),
rep("Bos3", 55),
rep("Bos4", 55),
rep("Bos5", 55),
rep("Bos6", 55)),
IDbms = 1,
Resultaat2status,
Rijnr = c(1:55, 156:210, 266:485),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Afgeleid"]]),
data.frame(BMS = "SoortModel",
DOMEIN_ID = c(rep("BosKlein", 15)),
nBomenInterval = 15,
nBomenIntervalOmtrek05 = 15,
BOS_BHI = c(rep("BosKlein", 15)),
IDbms = 1,
C13 = 100,
HOOGTE = 20,
Status = "Goedgekeurd",
Omtrek = 1.05,
Rijnr = c(531:545),
logOmtrek = 0.048790164169,
logOmtrek2 = 0.00238048011968,
nBomen = 15,
nBomenOmtrek05 = 15,
Q5 = 0.95,
Q5k = 0.95,
Q95 = 1.15,
Q95k = 1.15,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Lokaal"]]),
data.frame(BMS = "SoortExtra",
DOMEIN_ID = c(rep("Bos1", 55),
rep("Bos2", 55)),
Resultaat1,
BOS_BHI = c(rep("Bos1", 55),
rep("Bos2", 55)),
IDbms = 2,
Resultaat2status,
Rijnr = c(56:110, 211:265),
Resultaat3,
VoorModelFit = TRUE,
nExtra = 0,
stringsAsFactors = FALSE))
expect_equal(as.data.frame(Output[["Rest"]]) %>%
arrange(Rijnr),
data.frame(BMS = c(rep("SoortExtra", 45),
rep("SoortNiet", 45)),
DOMEIN_ID = c(rep("Bos6", 45),
rep("Bos1", 45)),
nBomenInterval = 45,
nBomenIntervalOmtrek05 = 45,
BOS_BHI = c(rep("Bos6", 45),
rep("Bos1", 45)),
IDbms = c(rep(2, 45),
rep(3, 45)),
Resultaat2status,
Rijnr = c(486:530, 111:155),
Resultaat3rest,
stringsAsFactors = FALSE) %>%
arrange(Rijnr))
})
it("De bestandsnaam moet eindigen op .html", {
expect_error(initiatie(Dataset, Bestandsnaam = "Fout.htlm"),
"De bestandnaam moet eindigen op '.html'")
})
it("Dataset mag geen afgekeurde gegevens bevatten", {
Dataset$Status <-
ifelse(Dataset$DOMEIN_ID == "BosKlein", "Afgekeurd", "Niet gecontroleerd")
expect_error(initiatie(Dataset),
"De kolom Status in de dataframe heeft niet voor alle records een geldige waarde. Zorg dat enkel de waarden 'Niet gecontroleerd', 'Te controleren' en 'Goedgekeurd' voorkomen.") #nolint: line_length_linter
})
it("Hoge omtrekklassen worden correct afgehandeld (uitbreidingen)", {
Dataset <- Dataset %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BOS_BHI = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BMS = c(rep("SoortModel", 35), rep("SoortExtra", 20)),
IDbms = c(rep(1, 35), rep(2, 20)),
C13 = 210,
HOOGTE = 30,
Status = "Te controleren"
)
) %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BOS_BHI = c(rep("Bos1", 15), rep("Bos2", 5), rep("BosKlein", 15),
rep("Bos1", 15), rep("Bos2", 5)),
BMS = c(rep("SoortModel", 35), rep("SoortExtra", 20)),
IDbms = c(rep(1, 35), rep(2, 20)),
C13 = 270,
HOOGTE = 40,
Status = "Te controleren"
)
)
Output <- initiatie(Dataset)
expect_equal(
Output[["Basis"]] %>%
filter(!VoorModelFit) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
Output[["Lokaal"]] %>%
filter((!VoorModelFit)) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
Uitzonderingen <-
data.frame(DOMEIN_ID = c("Bos1", "Bos1"),
BMS = c("SoortModel", "SoortExtra"),
min_basis = NA,
min_afgeleid = NA,
min_uitbreiden_model = 14,
stringsAsFactors = FALSE)
Output <- initiatie(Dataset, Uitzonderingen)
expect_equal(
Output[["Basis"]] %>%
filter(!VoorModelFit) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
Output[["Lokaal"]] %>%
filter((!VoorModelFit)) %>%
count(DOMEIN_ID, nExtra),
tibble(DOMEIN_ID = "Bos1", nExtra = 15, n = 15)
)
Uitzonderingen <- Uitzonderingen %>%
bind_rows(
data.frame(DOMEIN_ID = "BosKlein", BMS = "SoortModel",
stringsAsFactors = FALSE)
) %>%
mutate(
min_uitbreiden_model = 16
)
expect_warning(
Output <- initiatie(Dataset, Uitzonderingen),
"min_uitbreiden_model opgegeven voor afgeleid model, dit zal genegeerd worden \\(bij afgeleide modellen worden alle gegevens meegenomen\\)" #nolint: line_length_linter
)
expect_equal(
nrow(Output[["Basis"]] %>%
filter(!VoorModelFit)),
0
)
expect_equal(
Output[["Afgeleid"]] %>%
filter(C13 == 270) %>%
count(DOMEIN_ID),
tibble(DOMEIN_ID = "BosKlein", n = 15)
)
expect_equal(
nrow(Output[["Lokaal"]] %>%
filter(!VoorModelFit)),
0
)
})
it("Hoge/lage omtrekklassen worden correct verwijderd", {
Dataset2 <- Dataset %>%
bind_rows(
data.frame(
DOMEIN_ID = c(rep("Bos1", 2), rep("BosKlein", 2), rep("Bos1", 2)),
BOS_BHI = c(rep("Bos1", 2), rep("BosKlein", 2), rep("Bos1", 2)),
BMS = c(rep("SoortModel", 4), rep("SoortExtra", 2)),
IDbms = c(rep(1, 4), rep(2, 2)),
C13 = c(48, 305, 48, 285, 48, 305),
HOOGTE = c(10, 40),
Status = "Te controleren"
)
)
Output <- initiatie(Dataset)
expect_message(
Output2 <- initiatie(Dataset2),
regexp = "Het rapport is opgeslagen in de working directory"
)
expect_equal(
Output[["Basis"]] %>%
select(-"nBomen"),
Output2[["Basis"]] %>%
select(-"nBomen")
)
expect_equal(
Output[["Afgeleid"]] %>%
select(-"nBomen", -"nBomenInterval", -"Q5", -"Q5k"),
Output2[["Afgeleid"]] %>%
select(-"nBomen", -"nBomenInterval", -"Q5", -"Q5k")
)
expect_equal(
Output[["Lokaal"]] %>%
select(-"nBomen"),
Output2[["Lokaal"]] %>%
select(-"nBomen")
)
})
setwd(wd)
})
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