Nothing
test_that("silent with empty island with correct output", {
pars <- c(0.4, 0.2, 10, 0.0001, 0.5)
time <- 1
mainland_n <- 1
verbose <- FALSE
sample_freq <- 1
set.seed(1)
island_replicates <- list()
out <- list()
out[[1]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
nonoceanic_pars = c(0, 0),
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0
)
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
expected_CS_format <- list()
expected_CS_format[[1]] <- list()
stt_all <- matrix(ncol = 5, nrow = 2)
colnames(stt_all) <- c("Time", "nI", "nA", "nC", "present")
stt_all[1, ] <- c(1, 0, 0, 0, 0)
stt_all[2, ] <- c(0, 0, 0, 0, 0)
expected_CS_format[[1]][[1]] <- list(island_age = 1,
not_present = 1,
stt_all = stt_all)
testthat::expect_identical(formatted_CS_sim, expected_CS_format)
})
test_that("silent with non-empty island with correct output", {
pars <- c(0.5, 0.1, 10, 1, 0.5)
time <- 1
mainland_n <- 1
verbose <- FALSE
sample_freq <- 1
set.seed(1)
island_replicates <- list()
out <- list()
out[[1]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
nonoceanic_pars = c(0, 0),
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS( # nolint
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
expected_CS_format <- list()
expected_CS_format[[1]] <- list()
stt_all <- matrix(ncol = 5, nrow = 2)
colnames(stt_all) <- c("Time", "nI", "nA", "nC", "present")
stt_all[1, ] <- c(1, 0, 0, 0, 0)
stt_all[2, ] <- c(0, 0, 0, 3, 1)
expected_CS_format[[1]][[1]] <- list(island_age = 1,
not_present = 0,
stt_all = stt_all)
expected_CS_format[[1]][[2]] <- list(branching_times = c(1.000000000000000,
0.244818166871655,
0.173128288990374,
0.029668240213840),
stac = 2,
missing_species = 0)
testthat::expect_equal(formatted_CS_sim, expected_CS_format)
})
test_that("output with empty island and verbose = TRUE", {
pars <- c(0, 1, 1, 0.0001, 0)
time <- 1
mainland_n <- 1
verbose <- TRUE
sample_freq <- 1
set.seed(1)
island_replicates <- list()
out <- list()
out[[1]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
nonoceanic_pars = c(0, 0),
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
)
island_replicates[[1]] <- out
testthat::expect_message(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
),
regexp = "Island being formatted: 1/1"
)
})
test_that("silent with non-empty 2 type island", {
pars <- c(0.4, 0.1, 10, 1, 0.5, 0.4, 0.1, 10, 1, 0.5)
total_time <- 1
M <- 10
mainland_n <- M
verbose <- FALSE
replicates <- 1
sample_freq <- 10
set.seed(1)
island_replicates <- list()
prop_type2_pool <- 0.4
island_replicates <- DAISIE_sim_min_type2(
time = total_time,
M = M,
pars = pars,
replicates = replicates,
prop_type2_pool = prop_type2_pool,
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0),
verbose = FALSE)
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = total_time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
})
test_that("silent with non-empty 2 type island full stt", {
pars <- c(0.4, 0.1, 10, 1, 0.5, 0.4, 0.1, 10, 1, 0.5)
total_time <- 1
M <- 10
mainland_n <- M
verbose <- FALSE
replicates <- 1
sample_freq <- Inf
set.seed(1)
island_replicates <- list()
prop_type2_pool <- 0.4
island_replicates <- DAISIE_sim_min_type2(
time = total_time,
M = M,
pars = pars,
replicates = replicates,
prop_type2_pool = prop_type2_pool,
verbose = FALSE,
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
)
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = total_time,
M = mainland_n,
verbose = verbose
)
)
})
test_that("abuse", {
testthat::expect_error(
DAISIE_format_CS(
island_replicates = "nonsense",
time = "nonsense",
M = "nonsense",
sample_freq = "nonsense",
verbose = "nonsense"
)
)
})
test_that("use full stt", {
pars <- c(0.4, 0.2, 10, 2, 0.5)
time <- 5
mainland_n <- 1
verbose <- FALSE
sample_freq <- Inf
set.seed(1)
island_replicates <- list()
out <- list()
out[[1]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
nonoceanic_pars = c(0, 0),
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$island_age,
5
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$not_present,
0
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[2, ],
c(Time = 4.62240908343582735, nI = 1.0, nA = 0.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[5, ],
c(Time = 3.81548257687248871, nI = 0.0, nA = 1.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[11, ],
c(Time = 2.22760715636035123, nI = 1.0, nA = 0.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$branching_times,
c(5.0000000000000000, 2.22760715636035, 1.3487418169725700, 0.0921013811906803)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$stac,
3
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$all_colonisations[[1]]$event_times,
c(5.0, 2.22760716)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$all_colonisations[[1]]$species_type,
"A"
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$all_colonisations[[2]]$event_times,
c(5.0, 1.34874181697257, 0.0921013811906803)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$all_colonisations[[2]]$species_type,
"C"
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$missing_species,
0
)
})
test_that("use complete stt with ontogeny", {
total_time <- 10
mainland_n <- 1
verbose <- FALSE
sample_freq <- Inf
set.seed(2)
island_replicates <- list()
out <- list()
pars = c(0.1, 0.5, 0.005, 1, 1)
area_pars <- create_area_pars(
max_area = 5000,
current_area = 3000,
proportional_peak_t = 0.5,
total_island_age = 15,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0
)
hyper_pars <- create_hyper_pars(d = 0.2, x = 0.1)
nonoceanic_pars <- c(0, 0)
island_ontogeny = translate_island_ontogeny("beta")
sea_level = translate_sea_level("const")
peak <- calc_peak(total_time = total_time,
area_pars = area_pars)
Amax <- get_global_max_area(total_time = total_time,
area_pars = area_pars,
peak = peak,
island_ontogeny = island_ontogeny,
sea_level = sea_level)
Amin <- get_global_min_area(total_time = total_time,
area_pars = area_pars,
peak = peak,
island_ontogeny = island_ontogeny,
sea_level = sea_level)
out[[1]] <- DAISIE_sim_core_time_dep(
time = total_time,
pars = pars,
mainland_n = mainland_n,
island_ontogeny = island_ontogeny,
sea_level = sea_level,
hyper_pars = hyper_pars,
area_pars = area_pars,
nonoceanic_pars = nonoceanic_pars,
peak = peak,
Amax = Amax,
Amin = Amin,
extcutoff = 1000
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = total_time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$island_age,
10
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$not_present,
0
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[5, ],
c(Time = 6.2738223342025243, nI = 1.0, nA = 0.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[12, ],
c(Time = 3.2073998327641329, nI = 1.0, nA = 2.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[16, ],
c(Time = 2.1527893059827958, nI = 1.0, nA = 0.0, nC = 4.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$branching_times,
c(10.00000000000000, 6.27382233420251989, 4.99629097366935,
2.14112644569665012, 1.13725415915635009, 0.54321135189076997,
0.15055819094851100)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$stac,
3
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$missing_species,
0
)
})
test_that("full stt works with multiple replicates", {
pars <- c(0.4, 0.2, 10, 2, 0.5)
time <- 5
mainland_n <- 1
verbose <- FALSE
sample_freq <- Inf
set.seed(1)
area_pars <- create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
hyper_pars <- create_hyper_pars(d = 0, x = 0)
nonoceanic_pars <- c(0, 0)
island_replicates <- list()
island_replicates[[1]] <- island_replicates
out <- list()
out[[1]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
area_pars = area_pars,
hyper_pars = hyper_pars,
nonoceanic_pars = nonoceanic_pars
)
out[[2]] <- DAISIE_sim_core_cr(
time = time,
pars = pars,
mainland_n = mainland_n,
area_pars = area_pars,
hyper_pars = hyper_pars,
nonoceanic_pars = nonoceanic_pars
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
})
test_that("full stt works with empty island", {
pars <- c(0.4, 0.2, 10, 0.0000001, 0.5)
total_time <- 1
mainland_n <- 1
verbose <- FALSE
sample_freq <- Inf
area_pars <- create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0)
hyper_pars <- create_hyper_pars(d = 0, x = 0)
nonoceanic_pars <- c(0, 0)
set.seed(1)
replicates <- 2
island_replicates <- list()
for (rep in 1:replicates) {
island_replicates[[rep]] <- list()
full_list <- list()
out <- list()
for (m_spec in 1:mainland_n) {
out$branching_times <- c(10)
out <- DAISIE_sim_core_cr(
time = total_time,
mainland_n = 1,
pars = pars,
area_pars = area_pars,
hyper_pars = hyper_pars,
nonoceanic_pars = nonoceanic_pars
)
full_list[[m_spec]] <- out
}
island_replicates[[rep]] <- full_list
}
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = total_time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose
)
)
})
test_that("full stt with two trait states", {
pars <- c(0.4, 0.2, 20, 2, 0.5)
time <- 5
mainland_n <- 0
verbose <- FALSE
sample_freq <- Inf
trait_pars = create_trait_pars(
trans_rate = 0,
immig_rate2 = 1,
ext_rate2 = 0.4,
ana_rate2 = 0.8,
clado_rate2 = 0.4,
trans_rate2 = 0,
M2 = 1)
set.seed(1)
island_replicates <- list()
out <- list()
out[[1]] <- DAISIE_sim_core_trait_dep(
time = time,
pars = pars,
mainland_n = mainland_n,
hyper_pars = create_hyper_pars(d = 0, x = 0),
area_pars = create_area_pars(
max_area = 1,
current_area = 1,
proportional_peak_t = 0,
total_island_age = 0,
sea_level_amplitude = 0,
sea_level_frequency = 0,
island_gradient_angle = 0),
trait_pars = trait_pars
)
island_replicates[[1]] <- out
testthat::expect_silent(
formatted_CS_sim <- DAISIE_format_CS(
island_replicates = island_replicates,
time = time,
M = mainland_n,
sample_freq = sample_freq,
verbose = verbose,
trait_pars = trait_pars
)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$island_age,
5
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$not_present,
0
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_two_states[2, ],
c(Time = 4.24481817, nI = 0.0, nA = 0.0, nC = 0.0, nI2 = 1.0, nA2 = 0.0, nC2 = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_two_states[5, ],
c(Time = 3.61806444, nI = 0.0, nA = 0.0, nC = 0.0, nI2 = 1.0, nA2 = 0.0, nC2 = 2.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_two_states[11, ],
c(Time = 1.17170697, nI = 0.0, nA = 0.0, nC = 0.0, nI2 = 0.0, nA2 = 3.0, nC2 = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[2, ],
c(Time = 4.24481817, nI = 1.0, nA = 0.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[5, ],
c(Time = 3.61806444, nI = 1.0, nA = 0.0, nC = 2.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[1]]$stt_all[11, ],
c(Time = 1.17170697, nI = 0.0, nA = 3.0, nC = 0.0, present = 1.0)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$branching_times,
c(5, 4.24481817, 3.61806444, 1.25876988, 0.01277218)
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$stac,
3
)
testthat::expect_equal(
formatted_CS_sim[[1]][[2]]$missing_species,
0
)
})
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