Nothing
## From plotting.R
test_that("Expectation plot", {
skip_on_cran()
g <- emulator_plot(SIREmulators$ems,
ppd = 10)
g_other_pars <- emulator_plot(SIREmulators$ems,
params = c('aIR', 'aSR'))
g_single_em <- emulator_plot(SIREmulators$ems[[1]])
expect_equal(
length(g$plots),
8
)
})
test_that("Variance plot", {
skip_on_cran()
g <- emulator_plot(SIREmulators$ems,
ppd = 10, plot_type = 'var')
g_other_fixed <- emulator_plot(SIREmulators$ems,
plot_type = 'var', ppd = 10,
fixed_vals = c(aSR = 0.04))
g_single_em <- emulator_plot(SIREmulators$ems[[1]],
plot_type = 'var')
g_sd <- emulator_plot(SIREmulators$ems, plot_type = 'sd',
ppd = 10)
expect_equal(
length(g$plots),
8
)
})
test_that("Implausibility plot", {
skip_on_cran()
g <- emulator_plot(SIREmulators$ems,
ppd = 10, plot_type = "imp",
targets = SIREmulators$targets)
g_nimp <- emulator_plot(SIREmulators$ems,
ppd = 10, plot_type = 'nimp',
targets = SIREmulators$targets,
cb = TRUE)
expect_equal(
length(g$plots),
8
)
expect_warning(
g_4imp <- emulator_plot(SIREmulators$ems,
ppd = 10, plot_type = 'nimp',
targets = SIREmulators$targets,
nth = 4)
)
})
test_that("Plots from direct call", {
skip_on_cran()
em <- SIREmulators$ems$nS
g_exp <- exp_plot(em, ppd = 10)
g_var <- var_plot(em, ppd = 10)
g_var_const <- var_plot(em$o_em, ppd = 10)
expect_true(
length(unique(g_var_const$data$V)) == 1
)
})
test_that("Call from Emulator object", {
skip_on_cran()
g_orig <- emulator_plot(SIREmulators$ems$nS, ppd = 10)
g <- plot(SIREmulators$ems$nS, ppd = 10)
g2 <- SIREmulators$ems$nS$plot(ppd = 10)
expect_equal(
g_orig$data,
g$data
)
expect_equal(
g$data,
g2$data
)
})
test_that("Variance and Expectation plotting", {
skip_on_cran()
v_ems <- emulator_from_data(BirthDeath$training, c('Y'),
list(
lambda = c(0, 0.08),
mu = c(0.04, 0.13)),
verbose = FALSE,
emulator_type = "variance")
g_v <- emulator_plot(v_ems, ppd = 10)
expect_match(
g_v$plots[[2]]$labels$title,
"Y Mean Emulator Expectation"
)
g_v2 <- emulator_plot(v_ems$expectation, ppd = 10)
expect_equal(
g_v$plots[[2]]$data,
g_v2$plots[[2]]$data
)
g_vv <- v_ems$variance$Y$plot(ppd = 10)
expect_equal(
g_vv$labels$title,
"Y Variance Emulator Expectation"
)
})
test_that("Output plotting", {
skip_on_cran()
g <- output_plot(
SIREmulators$ems,
SIREmulators$targets,
npoints = 500
)
expect_equal(
nrow(g$data),
500 * length(SIREmulators$ems)
)
g_pts <- output_plot(
SIREmulators$ems,
SIREmulators$targets,
points = SIRSample$validation
)
expect_equal(
nrow(g_pts$data),
60 * length(SIREmulators$ems)
)
})
test_that("Plot lattice", {
skip_on_cran()
pl <- plot_lattice(
SIREmulators$ems,
SIREmulators$targets,
ppd = 10
)
expect_equal(
length(pl$plots),
length(SIREmulators$ems)^2
)
pl_alt <- plot_lattice(
SIREmulators$ems,
SIREmulators$targets,
ppd = 20,
maxpoints = 4000,
cb = TRUE
)
expect_true(
is.list(pl_alt$plots[[1]]$data)
)
})
test_that("Active Variable plots", {
skip_on_cran()
p1 <- plot_actives(
SIREmulators$ems
)
expect_equal(
nrow(p1$data),
9
)
expect_equal(
levels(p1$data$Var1),
c("nS", "nI", "nR")
)
expect_equal(
levels(p1$data$Var2),
c('aSI', 'aIR', 'aSR')
)
expect_true(
all(p1$data$value %in% c("TRUE", "FALSE"))
)
p2 <- plot_actives(
SIREmulators$ems,
c('nS'),
c('aSI', 'aIR')
)
expect_equal(
nrow(p2$data),
2
)
})
## Diagnostic plots
test_that("Behaviour plot error and warning", {
skip_on_cran()
expect_error(
behaviour_plot(out_names = c('nS', 'nI', 'nR'),
targets = SIREmulators$targets),
"One of 'ems' or 'points' must be supplied."
)
expect_error(
behaviour_plot(points = SIRSample$training, model = FALSE),
"Cannot perform emulator expectation"
)
expect_error(
behaviour_plot(points = SIRSample$validation, targets = SIREmulators$targets),
"No output names"
)
expect_warning(
behaviour_plot(SIREmulators$ems, model = TRUE),
"Cannot do model output"
)
expect_warning(
behaviour_plot(SIREmulators$ems, SIRSample$validation[,-c(5)], model = TRUE),
"Not all outputs"
)
})
test_that("Behaviour plot behaviour", {
skip_on_cran()
p1 <- behaviour_plot(SIREmulators$ems, targets = SIREmulators$targets)
p2 <- behaviour_plot(points = SIRSample$validation,
targets = SIREmulators$targets,
out_names = names(SIREmulators$targets))
expect_true(
is.null(p1) && is.null(p2)
)
})
test_that("Space removed plot", {
skip_on_cran()
g1 <- space_removed(
SIREmulators$ems, SIREmulators$targets, ppd = 5
)
expect_equal(
nrow(g1$data),
1000
)
expect_warning(
g2 <- space_removed(
SIREmulators$ems, SIREmulators$targets, ppd = 5,
u_mod = c(0.8, 1, 1.2), intervals = seq(0, 4, length.out = 100),
modified = 'disc'
),
"'disc' chosen"
)
expect_equal(
nrow(g2$data),
300
)
g_reduced <- space_removed(
SIREmulators$ems, SIREmulators$targets, ppd = 10,
modified = 'var', maxpoints = 990, u_mod = c(1, 1.1, 1.2),
intervals = seq(0, 3, length.out = 80)
)
expect_equal(
nrow(g_reduced$data),
240
)
g_hp <- space_removed(
SIREmulators$ems, SIREmulators$targets, ppd = 5,
modified = 'hp'
)
expect_equal(
nrow(g_hp$data),
1000
)
})
test_that("Validation pairs plot", {
skip_on_cran()
v1 <- validation_pairs(SIREmulators$ems, SIRSample$validation,
SIREmulators$targets, nth = 2)
v2 <- validation_pairs(SIRMultiWaveEmulators[[3]],
SIRMultiWaveData[[4]],
SIREmulators$targets,
SIREmulators$ems[[1]]$ranges,
cb = TRUE)
expect_equal(
nrow(v1$data),
60
)
expect_equal(
nrow(v2$data),
90
)
})
test_that("Emulator effect strength", {
skip_on_cran()
e1 <- effect_strength(SIREmulators$ems, plt = FALSE, quadratic = FALSE)
e2 <- effect_strength(SIREmulators$ems, plt = FALSE)
e_plot <- effect_strength(SIREmulators$ems,
line.plot = TRUE,
xvar = TRUE)
e_plot2 <- effect_strength(SIREmulators$ems,
grid.plot = TRUE)
expect_true(
!is.null(e2$linear) && !is.null(e2$quadratic)
)
expect_equal(
dim(e1),
c(3,3)
)
expect_equal(
e_plot$linear,
e_plot2$linear
)
})
test_that("Multi-wave: diagnostic_wrap", {
skip_on_cran()
mw <- diagnostic_wrap(
SIRMultiWaveData,
SIREmulators$targets,
input_names = c('aSI', 'aIR'),
output_names = c('nS', 'nR'),
palette = c('red', 'blue', 'green', 'yellow'),
wave_numbers = 1:3,
p_size = 0.8,
l_wid = 0.8,
upper_scale = 1.2,
)
expect_true(
all(names(mw) %in%
c("simulatorplot", "simulatorplotnorm",
"simulatorplotlog", "posteriorplot",
"outputsplot", "dependencyplot",
"dependencyplotnorm")
)
)
surr <- wave_points(
SIRMultiWaveData,
c('aSI', 'aIR', 'aSR'),
surround = TRUE,
wave_numbers = c(0, 2, 3)
)
expect_equal(
nrow(surr$data),
nrow(do.call('rbind.data.frame', SIRMultiWaveData[c(0,2,3)+1]))
)
expect_warning(
wv <- wave_values(
SIRMultiWaveData, SIREmulators$targets,
ems = SIRMultiWaveEmulators[[3]], restrict = TRUE
),
"Expecting to restrict"
)
})
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