tests/testthat/test_summarise.R
In DFE-Capital/blockbuster2: Deterioration Model of the School Estate
context("Summarise functions working correctly")
test_that("Summarises area by component",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("A", "B", "C", "D", "E"), 4),
elementid = rep(1:4, each = 5),
area = c(1, 0, 0, 0, 0,
0, 6, 0, 5, 0,
0, 0, 2, 0, 20,
12, 9, 6, 2.1, 0.9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_area(element, elementid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises backlog by component",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("B", "C", "D", "E"), 4),
elementid = rep(1:4, each = 4),
backlog = c(0, 0, 0, 0,
6, 0, 20, 0,
0, 6, 0, 140,
9, 24, 1.68, 9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_backlog(element, elementid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises backlog by block",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("B", "C", "D", "E"), 2),
buildingid = rep(1:2, each = 4),
backlog = c(1, 6, 0, 0,
14, 24, 21.68, 149),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_backlog(element, buildingid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises area by block",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("A", "B", "C", "D", "E"), 2),
buildingid = rep(1:2, each = 5),
area = c(1, 1, 2, 0, 0,
12, 14, 6, 7.1, 20.9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_area(element, buildingid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("backlog totals for element and blocks agree",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
expect_equal_backlogs <- function(element){
building_backlog <- element_summarise_backlog(element, buildingid) %>%
pull(backlog) %>% sum
element_backlog <- element_summarise_backlog(element, elementid) %>%
pull(backlog) %>% sum
expect_equal(building_backlog, element_backlog)
}
expect_equal_backlogs(element)
})
DFE-Capital/blockbuster2 documentation built on May 4, 2019, 1:08 p.m.
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context("Summarise functions working correctly")
test_that("Summarises area by component",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("A", "B", "C", "D", "E"), 4),
elementid = rep(1:4, each = 5),
area = c(1, 0, 0, 0, 0,
0, 6, 0, 5, 0,
0, 0, 2, 0, 20,
12, 9, 6, 2.1, 0.9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_area(element, elementid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises backlog by component",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("B", "C", "D", "E"), 4),
elementid = rep(1:4, each = 4),
backlog = c(0, 0, 0, 0,
6, 0, 20, 0,
0, 6, 0, 140,
9, 24, 1.68, 9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_backlog(element, elementid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises backlog by block",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("B", "C", "D", "E"), 2),
buildingid = rep(1:2, each = 4),
backlog = c(1, 6, 0, 0,
14, 24, 21.68, 149),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_backlog(element, buildingid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("Summarises area by block",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
correct <- data.frame(grade = rep(c("A", "B", "C", "D", "E"), 2),
buildingid = rep(1:2, each = 5),
area = c(1, 1, 2, 0, 0,
12, 14, 6, 7.1, 20.9),
stringsAsFactors = FALSE)
expect_equal(as.data.frame(element_summarise_area(element, buildingid)), # need to coerce result into data frame as expect equal tolerances don't work with tibbles.
correct)
})
test_that("backlog totals for element and blocks agree",{
# set up test block
A <- c(1, 0, 0, 0, 0, 0.4)
B <- c(0, 1, 0, 0.5, 0, 0.3)
C <- c(0, 0, 1, 0, 0, 0.2)
D <- c(0, 0, 0, 0.5, 0, 0.07)
E <- c(0, 0, 0, 0, 1, 0.03)
element <- data.frame(A, B, C, D, E,
elementid = c(1, 2, 3, 2, 3, 4),
buildingid = c(1, 1, 1, 2, 2, 2),
B.repair.cost = c(1, 1, 1, 1, 1, 1),
C.repair.cost = c(2, 2, 3, 2, 3, 4),
D.repair.cost = c(3, 4, 6, 4, 6, 8),
E.repair.cost = c(4, 5, 7, 5, 7, 10),
B.repair.total = c(0, 1, 0, 5, 0, 9),
C.repair.total = c(0, 0, 6, 0, 0, 24),
D.repair.total = c(0, 0, 0, 20, 0, 1.68),
E.repair.total = c(0, 0, 0, 0, 140, 9),
gifa = 1,
unit_area = c(1, 1, 2, 10, 20, 30))
expect_equal_backlogs <- function(element){
building_backlog <- element_summarise_backlog(element, buildingid) %>%
pull(backlog) %>% sum
element_backlog <- element_summarise_backlog(element, elementid) %>%
pull(backlog) %>% sum
expect_equal(building_backlog, element_backlog)
}
expect_equal_backlogs(element)
})
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