tests/testthat/test-utlede_segmentStent_variabler.R
In Rapporteket/NORIC: Provide R Resources for NORIC at Rapporteket
test_that("Number of stents is correct", {
test_ap <- data.frame(ForlopsID = 1:6,
AvdRESH = rep(1, 6))
test_ss <- data.frame(ForlopsID = c(1, 1, 1, 3, 4, 5, 5, 5, 6, 6),
AvdRESH = rep(1, 10),
StentType = c("A", "A", NA,
"B", "C",
NA, NA, NA,
"A", "B"))
# If two stents + one missing, total number of stents should be 2
testthat::expect_equal(
object = legg_til_antall_stent(df_ap = test_ap, df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::pull(antall_stent),
expected = 2)
# If no information on segment-level : value should be NA
testthat::expect_true(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(antall_stent) %>%
is.na())
# If one stent , total number of stents should be 1
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::pull(antall_stent),
1)
# If only missing StentType , total number of stents should be 0
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 5) %>%
dplyr::pull(antall_stent),
0)
# If different 2 values for StentType, total number of stents should be 2
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 6) %>%
dplyr::pull(antall_stent),
2)
# Number of columns should be 3
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
ncol(),
3)
})
test_that("satt inn stent i segment 5 is correct", {
test_ap <- data.frame(ForlopsID = 1:6,
AvdRESH = rep(1, 6))
test_ss <- data.frame(ForlopsID = c(1, 1, 1, 3, 4, 5, 5, 5, 6, 6),
AvdRESH = rep(1, 10),
Segment = c(5, 1, 1, 5, 2, 5, 1, 1, 5, 5),
Graft = rep("Nei", 10),
StentType = c("A", "A", NA,
"B", "C",
NA, NA, NA,
"A", "B"))
# For disse forløpene forventes det at "satt_inn_stent_i_LMS" = ja
testthat::expect_true(all(
noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID %in% c(1, 3, 6)) %>%
dplyr::pull(satt_inn_stent_i_LMS) == "ja"))
# For disse forløpene forventes det at satt_inn_stent_i_LMS = nei
testthat::expect_true(all(
noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID %in% c(4, 5)) %>%
dplyr::pull(satt_inn_stent_i_LMS) == "nei"))
# For disse forløpene forventes det at satt_inn_stent_i_LMS = NA
testthat::expect_true(noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(satt_inn_stent_i_LMS) %>%
is.na())
# Forventet antall rader og kolonner
testthat::expect_equal(
noric::satt_inn_stent_i_lms(df_ap = test_ap, df_ss = test_ss) %>%
dim(),
c(6,3))
# Forventede navn på rader
testthat::expect_equal(
noric::satt_inn_stent_i_lms(df_ap = test_ap, df_ss = test_ss) %>%
names(),
c("ForlopsID","AvdRESH", "satt_inn_stent_i_LMS"))
})
test_that("legg_til_antall_stent_opphold is correct", {
x <- data.frame(AvdRESH = rep(1, 13),
OppholdsID = c(101:106, 101, 102, 102, 103, 104, 106, 50),
antall_stent = c(0, 5, NA, 1, NA, NA,
3, 1, 2, 3, NA, NA, 10))
x_out <- noric::legg_til_antall_stent_opphold(x)
testthat::expect_equal(
names(x_out),
c("AvdRESH", "OppholdsID", "antall_stent", "antall_stent_under_opphold"))
# Dersom flere forløp for et opphold skal alle forløp ha totalsummen
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(102)) %>%
dplyr::pull(antall_stent_under_opphold) == 8))
# Dersom ingen forløp har noe informasjon i SegmentStent, skal NA returneres
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(105, 106)) %>%
dplyr::pull(antall_stent_under_opphold) %>%
is.na())
)
# Dersom minst et forløp har en registrering, skal ikke NA returneres
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(103)) %>%
dplyr::pull(antall_stent_under_opphold) == 3)
)
})
test_that("utlede_kar_segmen_stent is correct", {
x <- data.frame(ForlopsID = 1:23,
AvdRESH = rep(1, 23),
Segment = c(1:20, 1:3),
Graft = c(rep("Nei", 20), "Arteriell", "Vene", NA))
x %<>% utlede_kar_segment_stent(.)
testthat::expect_equal(c(23, 5), dim(x))
testthat::expect_true("kar" %in% names(x))
testthat::expect_equal(
expected = rep("RCA", 7),
object = x %>%
dplyr::filter(Segment %in% c(1, 2, 3, 4, 18, 19),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("LAD", 6),
x %>%
dplyr::filter(Segment %in% c(6, 7, 8, 9, 10, 20),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat:: expect_equal(rep("CX", 7),
x %>%
dplyr::filter(
Segment %in% c(11, 12, 13, 14, 15, 16, 17),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("LMS", 1),
x %>%
dplyr::filter(
Segment == 5,
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("Graft", 2),
x %>%
dplyr::filter(Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
})
test_that("utlede_kar_graft_segment_stent is correct", {
x <- data.frame(ForlopsID = 1:60,
AvdRESH = rep(1, 60),
Segment = rep(1:20, 3),
Graft = c(rep("Nei", 20),
rep("Arteriell", 20),
rep("Vene", 20)))
x %<>% utlede_kar_graft_segment_stent(.)
testthat::expect_equal(c(60, 5), dim(x))
testthat::expect_true("kar_graft" %in% names(x))
testthat:: expect_true(all(
x %>%
dplyr::filter(Segment %in% c(1, 2, 3, 4, 18, 19)) %>%
dplyr::pull(kar_graft) %in%
c("RCA", "RCA_veneGraft", "RCA_arterieGraft")))
testthat::expect_true(all(
x %>%
dplyr::filter(Segment %in% c(6, 7, 8, 9, 10, 20)) %>%
dplyr::pull(kar_graft) %in% c("LAD", "LAD_veneGraft", "LAD_arterieGraft")))
testthat::expect_true(all(
x %>%
dplyr::filter(Segment %in% c(11, 12, 13, 14, 15, 16, 17)) %>%
dplyr::pull(kar_graft) %in% c("CX", "CX_veneGraft", "CX_arterieGraft")))
testthat::expect_equal("LMS",
x %>%
dplyr::filter(Segment == 5,
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar_graft) %>%
as.character())
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(Segment == 5,
Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar_graft))))
})
test_that("legg_til_pci_per_kar is correct", {
test_ap <- data.frame(ForlopsID = 1:5,
AvdRESH = rep(1, 5))
# All these variables er mandatory, no need to simulate missing values
test_ss <- data.frame(ForlopsID = c(1, 2, 3, 3, 3),
AvdRESH = rep(1, 5),
Segment = c(1, 5, 10, 12, 13),
Graft = c(rep("Nei", 3),
rep("Arteriell", 1),
rep("Vene", 1)),
ProsedyreType = c("Ballong + Stent",
"Wireforsøk",
"Rotablator",
"Wireforsøk",
"Direktestent"))
x <- test_ap %>% legg_til_pci_per_kar(., df_ss = test_ss)
# Test dimetions
testthat::expect_equal(c(5, 12), dim(x))
# Test name and order of new variables
testthat::expect_equal(
names(x),
c("ForlopsID", "AvdRESH", "PCI_LMS", "PCI_LAD", "PCI_RCA",
"PCI_CX", "PCI_LAD_arterieGraft", "PCI_RCA_arterieGraft",
"PCI_CX_arterieGraft", "PCI_LAD_veneGraft",
"PCI_RCA_veneGraft", "PCI_CX_veneGraft"))
# Test that procedures without SS-data have value "NA" for all new variables
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(ForlopsID %in% 4:5) %>%
dplyr::select(contains("PCI_")))))
# Test that procedure with only "Wireforsøk" has "nei" for all new variables
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::select(contains("PCI")) == "nei"))
# Test that ForlopsID = 1 is correct
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::select(contains("PCI_")) %>%
dplyr::select(- PCI_RCA) == "nei"))
testthat::expect_true(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::pull(PCI_RCA) == "ja")
# Test that ForlopsID = 3 is correct
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(contains("PCI_")) %>%
dplyr::select(- PCI_LAD, - PCI_CX_veneGraft) == "nei"))
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(PCI_LAD, PCI_CX_veneGraft) == "ja"))
testthat::expect_error(
noric::legg_til_pci_per_kar(df_ap = test_ap %>%
dplyr::select(-ForlopsID),
df_ss = test_ss))
testthat::expect_error(
noric::legg_til_pci_per_kar(df_ap = test_ap,
df_ss = test_ss %>%
dplyr::select(-ProsedyreType)))
})
test_that("legg_til_wirefosok_per_kar is correct", {
test_ap <- data.frame(ForlopsID = 1:5,
AvdRESH = rep(1, 5))
# Alle these variables er mandatory, no need to simulate missing values
test_ss <- data.frame(ForlopsID = c(1, 2, 3, 3, 3),
AvdRESH = rep(1, 5),
Segment = c(1, 5, 10, 12, 13),
Graft = c(rep("Nei", 3),
rep("Arteriell", 1),
rep("Vene", 1)),
ProsedyreType = c("Ballong + Stent",
"Wireforsøk",
"Rotablator",
"Wireforsøk",
"Direktestent"))
x <- legg_til_wireforsok_per_kar(df_ap = test_ap,
df_ss = test_ss)
# Test dimetions
testthat::expect_equal(c(5, 12), dim(x))
# Test name and order of new variables
testthat::expect_equal(
names(x),
c("ForlopsID", "AvdRESH", "wireforsok_LMS", "wireforsok_LAD",
"wireforsok_RCA", "wireforsok_CX", "wireforsok_LAD_arterieGraft",
"wireforsok_RCA_arterieGraft", "wireforsok_CX_arterieGraft",
"wireforsok_LAD_veneGraft", "wireforsok_RCA_veneGraft",
"wireforsok_CX_veneGraft"))
# Test that procedures without SS-data have value "NA" for all new variables
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(ForlopsID %in% 4:5) %>%
dplyr::select(contains("wireforsok_")))))
# Test that procedure with only no "Wireforsøk" has "nei" for all
# new variables
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::select(contains("wireforsok")) == "nei"))
# Test that ForlopsID = 2 is correct
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::select(contains("wireforsok")) %>%
dplyr::select(- wireforsok_LMS) == "nei"))
testthat::expect_true(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(wireforsok_LMS) == "ja")
# Test that ForlopsID = 3 is correct
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(contains("wireforsok_")) %>%
dplyr::select(- wireforsok_CX_arterieGraft) == "nei"))
testthat::expect_true(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::pull(wireforsok_CX_arterieGraft) == "ja")
testthat::expect_error(
noric::legg_til_wireforsok_per_kar(df_ap = test_ap %>%
dplyr::select(-ForlopsID),
df_ss = test_ss))
testthat::expect_error(
noric::legg_til_wireforsok_per_kar(df_ap = test_ap,
df_ss = test_ss %>%
dplyr::select(-ProsedyreType)))
})
Rapporteket/NORIC documentation built on Sept. 7, 2024, 10:32 a.m.
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test_that("Number of stents is correct", {
test_ap <- data.frame(ForlopsID = 1:6,
AvdRESH = rep(1, 6))
test_ss <- data.frame(ForlopsID = c(1, 1, 1, 3, 4, 5, 5, 5, 6, 6),
AvdRESH = rep(1, 10),
StentType = c("A", "A", NA,
"B", "C",
NA, NA, NA,
"A", "B"))
# If two stents + one missing, total number of stents should be 2
testthat::expect_equal(
object = legg_til_antall_stent(df_ap = test_ap, df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::pull(antall_stent),
expected = 2)
# If no information on segment-level : value should be NA
testthat::expect_true(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(antall_stent) %>%
is.na())
# If one stent , total number of stents should be 1
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::pull(antall_stent),
1)
# If only missing StentType , total number of stents should be 0
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 5) %>%
dplyr::pull(antall_stent),
0)
# If different 2 values for StentType, total number of stents should be 2
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 6) %>%
dplyr::pull(antall_stent),
2)
# Number of columns should be 3
testthat::expect_equal(legg_til_antall_stent(df_ap = test_ap,
df_ss = test_ss) %>%
ncol(),
3)
})
test_that("satt inn stent i segment 5 is correct", {
test_ap <- data.frame(ForlopsID = 1:6,
AvdRESH = rep(1, 6))
test_ss <- data.frame(ForlopsID = c(1, 1, 1, 3, 4, 5, 5, 5, 6, 6),
AvdRESH = rep(1, 10),
Segment = c(5, 1, 1, 5, 2, 5, 1, 1, 5, 5),
Graft = rep("Nei", 10),
StentType = c("A", "A", NA,
"B", "C",
NA, NA, NA,
"A", "B"))
# For disse forløpene forventes det at "satt_inn_stent_i_LMS" = ja
testthat::expect_true(all(
noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID %in% c(1, 3, 6)) %>%
dplyr::pull(satt_inn_stent_i_LMS) == "ja"))
# For disse forløpene forventes det at satt_inn_stent_i_LMS = nei
testthat::expect_true(all(
noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID %in% c(4, 5)) %>%
dplyr::pull(satt_inn_stent_i_LMS) == "nei"))
# For disse forløpene forventes det at satt_inn_stent_i_LMS = NA
testthat::expect_true(noric::satt_inn_stent_i_lms(df_ap = test_ap,
df_ss = test_ss) %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(satt_inn_stent_i_LMS) %>%
is.na())
# Forventet antall rader og kolonner
testthat::expect_equal(
noric::satt_inn_stent_i_lms(df_ap = test_ap, df_ss = test_ss) %>%
dim(),
c(6,3))
# Forventede navn på rader
testthat::expect_equal(
noric::satt_inn_stent_i_lms(df_ap = test_ap, df_ss = test_ss) %>%
names(),
c("ForlopsID","AvdRESH", "satt_inn_stent_i_LMS"))
})
test_that("legg_til_antall_stent_opphold is correct", {
x <- data.frame(AvdRESH = rep(1, 13),
OppholdsID = c(101:106, 101, 102, 102, 103, 104, 106, 50),
antall_stent = c(0, 5, NA, 1, NA, NA,
3, 1, 2, 3, NA, NA, 10))
x_out <- noric::legg_til_antall_stent_opphold(x)
testthat::expect_equal(
names(x_out),
c("AvdRESH", "OppholdsID", "antall_stent", "antall_stent_under_opphold"))
# Dersom flere forløp for et opphold skal alle forløp ha totalsummen
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(102)) %>%
dplyr::pull(antall_stent_under_opphold) == 8))
# Dersom ingen forløp har noe informasjon i SegmentStent, skal NA returneres
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(105, 106)) %>%
dplyr::pull(antall_stent_under_opphold) %>%
is.na())
)
# Dersom minst et forløp har en registrering, skal ikke NA returneres
testthat::expect_true(all(
x_out %>%
dplyr::filter(OppholdsID %in% c(103)) %>%
dplyr::pull(antall_stent_under_opphold) == 3)
)
})
test_that("utlede_kar_segmen_stent is correct", {
x <- data.frame(ForlopsID = 1:23,
AvdRESH = rep(1, 23),
Segment = c(1:20, 1:3),
Graft = c(rep("Nei", 20), "Arteriell", "Vene", NA))
x %<>% utlede_kar_segment_stent(.)
testthat::expect_equal(c(23, 5), dim(x))
testthat::expect_true("kar" %in% names(x))
testthat::expect_equal(
expected = rep("RCA", 7),
object = x %>%
dplyr::filter(Segment %in% c(1, 2, 3, 4, 18, 19),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("LAD", 6),
x %>%
dplyr::filter(Segment %in% c(6, 7, 8, 9, 10, 20),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat:: expect_equal(rep("CX", 7),
x %>%
dplyr::filter(
Segment %in% c(11, 12, 13, 14, 15, 16, 17),
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("LMS", 1),
x %>%
dplyr::filter(
Segment == 5,
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
testthat::expect_equal(rep("Graft", 2),
x %>%
dplyr::filter(Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar) %>%
as.character())
})
test_that("utlede_kar_graft_segment_stent is correct", {
x <- data.frame(ForlopsID = 1:60,
AvdRESH = rep(1, 60),
Segment = rep(1:20, 3),
Graft = c(rep("Nei", 20),
rep("Arteriell", 20),
rep("Vene", 20)))
x %<>% utlede_kar_graft_segment_stent(.)
testthat::expect_equal(c(60, 5), dim(x))
testthat::expect_true("kar_graft" %in% names(x))
testthat:: expect_true(all(
x %>%
dplyr::filter(Segment %in% c(1, 2, 3, 4, 18, 19)) %>%
dplyr::pull(kar_graft) %in%
c("RCA", "RCA_veneGraft", "RCA_arterieGraft")))
testthat::expect_true(all(
x %>%
dplyr::filter(Segment %in% c(6, 7, 8, 9, 10, 20)) %>%
dplyr::pull(kar_graft) %in% c("LAD", "LAD_veneGraft", "LAD_arterieGraft")))
testthat::expect_true(all(
x %>%
dplyr::filter(Segment %in% c(11, 12, 13, 14, 15, 16, 17)) %>%
dplyr::pull(kar_graft) %in% c("CX", "CX_veneGraft", "CX_arterieGraft")))
testthat::expect_equal("LMS",
x %>%
dplyr::filter(Segment == 5,
!Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar_graft) %>%
as.character())
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(Segment == 5,
Graft %in% c("Arteriell", "Vene")) %>%
dplyr::pull(kar_graft))))
})
test_that("legg_til_pci_per_kar is correct", {
test_ap <- data.frame(ForlopsID = 1:5,
AvdRESH = rep(1, 5))
# All these variables er mandatory, no need to simulate missing values
test_ss <- data.frame(ForlopsID = c(1, 2, 3, 3, 3),
AvdRESH = rep(1, 5),
Segment = c(1, 5, 10, 12, 13),
Graft = c(rep("Nei", 3),
rep("Arteriell", 1),
rep("Vene", 1)),
ProsedyreType = c("Ballong + Stent",
"Wireforsøk",
"Rotablator",
"Wireforsøk",
"Direktestent"))
x <- test_ap %>% legg_til_pci_per_kar(., df_ss = test_ss)
# Test dimetions
testthat::expect_equal(c(5, 12), dim(x))
# Test name and order of new variables
testthat::expect_equal(
names(x),
c("ForlopsID", "AvdRESH", "PCI_LMS", "PCI_LAD", "PCI_RCA",
"PCI_CX", "PCI_LAD_arterieGraft", "PCI_RCA_arterieGraft",
"PCI_CX_arterieGraft", "PCI_LAD_veneGraft",
"PCI_RCA_veneGraft", "PCI_CX_veneGraft"))
# Test that procedures without SS-data have value "NA" for all new variables
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(ForlopsID %in% 4:5) %>%
dplyr::select(contains("PCI_")))))
# Test that procedure with only "Wireforsøk" has "nei" for all new variables
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::select(contains("PCI")) == "nei"))
# Test that ForlopsID = 1 is correct
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::select(contains("PCI_")) %>%
dplyr::select(- PCI_RCA) == "nei"))
testthat::expect_true(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::pull(PCI_RCA) == "ja")
# Test that ForlopsID = 3 is correct
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(contains("PCI_")) %>%
dplyr::select(- PCI_LAD, - PCI_CX_veneGraft) == "nei"))
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(PCI_LAD, PCI_CX_veneGraft) == "ja"))
testthat::expect_error(
noric::legg_til_pci_per_kar(df_ap = test_ap %>%
dplyr::select(-ForlopsID),
df_ss = test_ss))
testthat::expect_error(
noric::legg_til_pci_per_kar(df_ap = test_ap,
df_ss = test_ss %>%
dplyr::select(-ProsedyreType)))
})
test_that("legg_til_wirefosok_per_kar is correct", {
test_ap <- data.frame(ForlopsID = 1:5,
AvdRESH = rep(1, 5))
# Alle these variables er mandatory, no need to simulate missing values
test_ss <- data.frame(ForlopsID = c(1, 2, 3, 3, 3),
AvdRESH = rep(1, 5),
Segment = c(1, 5, 10, 12, 13),
Graft = c(rep("Nei", 3),
rep("Arteriell", 1),
rep("Vene", 1)),
ProsedyreType = c("Ballong + Stent",
"Wireforsøk",
"Rotablator",
"Wireforsøk",
"Direktestent"))
x <- legg_til_wireforsok_per_kar(df_ap = test_ap,
df_ss = test_ss)
# Test dimetions
testthat::expect_equal(c(5, 12), dim(x))
# Test name and order of new variables
testthat::expect_equal(
names(x),
c("ForlopsID", "AvdRESH", "wireforsok_LMS", "wireforsok_LAD",
"wireforsok_RCA", "wireforsok_CX", "wireforsok_LAD_arterieGraft",
"wireforsok_RCA_arterieGraft", "wireforsok_CX_arterieGraft",
"wireforsok_LAD_veneGraft", "wireforsok_RCA_veneGraft",
"wireforsok_CX_veneGraft"))
# Test that procedures without SS-data have value "NA" for all new variables
testthat::expect_true(all(is.na(
x %>%
dplyr::filter(ForlopsID %in% 4:5) %>%
dplyr::select(contains("wireforsok_")))))
# Test that procedure with only no "Wireforsøk" has "nei" for all
# new variables
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 1) %>%
dplyr::select(contains("wireforsok")) == "nei"))
# Test that ForlopsID = 2 is correct
testthat::expect_true(all(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::select(contains("wireforsok")) %>%
dplyr::select(- wireforsok_LMS) == "nei"))
testthat::expect_true(x %>%
dplyr::filter(ForlopsID == 2) %>%
dplyr::pull(wireforsok_LMS) == "ja")
# Test that ForlopsID = 3 is correct
testthat::expect_true(all(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::select(contains("wireforsok_")) %>%
dplyr::select(- wireforsok_CX_arterieGraft) == "nei"))
testthat::expect_true(
x %>%
dplyr::filter(ForlopsID == 3) %>%
dplyr::pull(wireforsok_CX_arterieGraft) == "ja")
testthat::expect_error(
noric::legg_til_wireforsok_per_kar(df_ap = test_ap %>%
dplyr::select(-ForlopsID),
df_ss = test_ss))
testthat::expect_error(
noric::legg_til_wireforsok_per_kar(df_ap = test_ap,
df_ss = test_ss %>%
dplyr::select(-ProsedyreType)))
})
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