Nothing
set.seed(131121)
Theta_1 <- r_unif_cir(n = 33, M = 1)
Theta_2 <- r_unif_cir(n = 10, M = 2)
X_2 <- r_unif_sph(n = 33, p = 2, M = 1)
X_3 <- r_unif_sph(n = 10, p = 3, M = 2)
X_4 <- r_unif_sph(n = 10, p = 4, M = 2)
X_9 <- r_unif_sph(n = 10, p = 9, M = 2)
r_d_2 <- r_unif_sph(n = 5, p = 2, M = 1)[, , 1]
r_d_3 <- r_unif_sph(n = 5, p = 3, M = 1)[, , 1]
r_d_4 <- r_unif_sph(n = 5, p = 4, M = 1)[, , 1]
r_d_9 <- r_unif_sph(n = 5, p = 9, M = 1)[, , 1]
avail_cir_tests_s1 <- c("Gine_Fn", "Pycke", "Watson", "PCvM", "Cressie")
avail_cir_tests_s2 <- c("Gine_Gn", "Rothman", "Watson_1976", "PRt")
avail_sph_tests_s1 <- c("Gine_Fn", "Pycke", "PAD", "PCvM", "Cai")
avail_sph_tests_s2 <- c("Gine_Gn", "CCF09", "Ajne", "PRt")
test_that("unif_stat doing all or separate statistics", {
expect_equal(as.numeric(unif_stat(data = Theta_1, type = "all",
CCF09_dirs = r_d_2)),
as.numeric(sapply(avail_cir_tests, function(test)
unif_stat(data = Theta_1, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.matrix(unif_stat(data = Theta_2, type = "all",
CCF09_dirs = r_d_2)),
sapply(avail_cir_tests, function(test)
as.matrix(unif_stat(data = Theta_2, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.numeric(unif_stat(data = X_2, type = "all",
CCF09_dirs = r_d_2)),
as.numeric(sapply(avail_cir_tests, function(test)
unif_stat(data = X_2, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.matrix(unif_stat(data = X_3, type = "all",
CCF09_dirs = r_d_3)),
sapply(avail_sph_tests, function(test)
as.matrix(unif_stat(data = X_3, type = test,
CCF09_dirs = r_d_3))))
suppressWarnings(expect_warning(
expect_equal(as.matrix(unif_stat(data = X_4, type = "all",
CCF09_dirs = r_d_4)),
sapply(avail_sph_tests, function(test)
as.matrix(unif_stat(data = X_4, type = test,
CCF09_dirs = r_d_4))))
))
suppressWarnings(expect_warning(
expect_equal(as.matrix(unif_stat(data = X_9, type = "all",
CCF09_dirs = r_d_9)),
sapply(avail_sph_tests, function(test)
as.matrix(unif_stat(data = X_9, type = test,
CCF09_dirs = r_d_9))))
))
})
test_that("unif_stat with randomly-chosen and separate statistics", {
expect_equal(as.numeric(unif_stat(data = Theta_1, type = avail_cir_tests_s1,
CCF09_dirs = r_d_2)),
as.numeric(sapply(avail_cir_tests_s1, function(test)
unif_stat(data = Theta_1, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.numeric(unif_stat(data = Theta_1, type = avail_cir_tests_s2,
CCF09_dirs = r_d_2)),
as.numeric(sapply(avail_cir_tests_s2, function(test)
unif_stat(data = Theta_1, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.numeric(unif_stat(data = X_2, type = avail_sph_tests_s2,
CCF09_dirs = r_d_2)),
as.numeric(sapply(avail_sph_tests_s2, function(test)
unif_stat(data = X_2, type = test,
CCF09_dirs = r_d_2))))
expect_equal(as.matrix(unif_stat(data = X_3, type = avail_sph_tests_s2,
CCF09_dirs = r_d_3)),
sapply(avail_sph_tests_s2, function(test)
as.matrix(unif_stat(data = X_3, type = test,
CCF09_dirs = r_d_3))))
expect_equal(as.matrix(unif_stat(data = X_4, type = avail_sph_tests_s2,
CCF09_dirs = r_d_4)),
sapply(avail_sph_tests_s2, function(test)
as.matrix(unif_stat(data = X_4, type = test,
CCF09_dirs = r_d_4))))
})
test_that("unif_stat with data_sorted = TRUE and CCF09 = NULL", {
expect_equal(as.numeric(unif_stat(data = sort_each_col(Theta_1),
type = avail_cir_tests_s1,
CCF09_dirs = r_d_2,
data_sorted = TRUE)),
as.numeric(sapply(avail_cir_tests_s1, function(test)
unif_stat(data = sort_each_col(Theta_1), type = test,
CCF09_dirs = r_d_2,
data_sorted = TRUE))))
expect_equal({
set.seed(131312)
rd <- CCF09_dirs <- r_unif_sph(n = 50, p = 2, M = 1)[, , 1]
as.matrix(unif_stat(data = Theta_2, type = c("Range", "Rao",
"CCF09"),
CCF09_dirs = rd))
}, {
set.seed(131312)
as.matrix(unif_stat(data = Theta_2, type = c("Range", "Rao",
"CCF09")))
})
expect_equal({
set.seed(131312)
r_d <- CCF09_dirs <- r_unif_sph(n = 50, p = 3, M = 1)[, , 1]
as.matrix(unif_stat(data = X_3, type = c("PCvM", "Bakshaev",
"CCF09"),
CCF09_dirs = r_d))
}, {
set.seed(131312)
as.matrix(unif_stat(data = X_3, type = c("PCvM", "Bakshaev",
"CCF09")))
})
})
test_that("unif_stat equality for data = Theta and data = Theta_to_X(Theta)", {
expect_equal(unif_stat(data = Theta_1, type = avail_cir_tests,
CCF09_dirs = r_d_2),
unif_stat(data = Theta_to_X(Theta_1), type = avail_cir_tests,
CCF09_dirs = r_d_2))
expect_equal(unif_stat(data = X_2, type = avail_sph_tests,
CCF09_dirs = r_d_2),
unif_stat(data = X_to_Theta(X_2), type = avail_sph_tests,
CCF09_dirs = r_d_2))
})
test_that("Errors in edge cases", {
expect_error(unif_stat(data = rbind(Theta_2, c(0, NA))))
expect_error(unif_stat(data = rbind(X_3, c(0, NA, 1))))
expect_error(unif_stat(data = rbind(c(1, 0))))
expect_error(unif_stat(data = 1))
expect_error(unif_stat(data = 1:3, type = function(x) x^2))
})
test_that("Passing edge cases", {
expect_equal(unif_stat(data = 1:6, type = c("Ajne", "Cressie")),
unif_stat(data = cbind(1:6), type = c("Ajne", "Cressie")))
expect_equal(unif_stat(data = cbind(1:5, 2:6), type = c("Ajne", "Cressie")),
{A <- array(dim = c(5, 1, 2)); A[, 1, ] <- cbind(1:5, 2:6);
unif_stat(data = A, type = c("Ajne", "Cressie"))})
expect_equal(c(as.matrix(unif_stat(data = Theta_2,
type = avail_cir_tests[2:5],
CCF09_dirs = r_d_2))),
c(sapply(2:5, function(test)
as.matrix(unif_stat(data = Theta_2, type = test,
CCF09_dirs = r_d_2)))))
expect_equal(c(as.matrix(unif_stat(data = X_3, type = avail_sph_tests[2:5],
CCF09_dirs = r_d_3))),
c(sapply(2:5, function(test)
as.matrix(unif_stat(data = X_3, type = test,
CCF09_dirs = r_d_3)))))
expect_equal(unif_stat(data = 1:6, type = c("Ajne", "Ajne", "Watson")),
unif_stat(data = 1:6, type = c("Ajne", "Watson")))
})
test_that("KS, CvM, and AD", {
expect_equal(as.numeric(unif_stat(data = Theta_1, type = "KS")),
as.numeric(cir_stat_Kuiper(Theta = Theta_1, KS = TRUE)))
expect_equal(as.numeric(unif_stat(data = Theta_1, type = "CvM")),
as.numeric(cir_stat_Watson(Theta = Theta_1, CvM = TRUE)))
expect_equal(as.numeric(unif_stat(data = Theta_1, type = "AD")),
as.numeric(goftest::ad.test(Theta_1, null = "punif",
min = 0, max = 2 * pi)$statistic))
expect_equal(unif_stat(data = Theta_2, type = "KS")$KS,
cir_stat_Kuiper(Theta = Theta_2, KS = TRUE))
expect_equal(unif_stat(data = Theta_2, type = "CvM")$CvM,
cir_stat_Watson(Theta = Theta_2, CvM = TRUE))
expect_equal(as.numeric(unif_stat(data = Theta_2, type = "AD")$AD),
apply(Theta_2, 2, function(x)
as.numeric(goftest::ad.test(x, null = "punif", min = 0,
max = 2 * pi)$statistic)))
})
test_that("Riesz vs. Rayleigh", {
expect_equal(
as.numeric(unif_stat(data = Theta_2, type = c("Riesz", "Rayleigh"),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = Theta_2, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = Theta_2, type = c("Riesz", avail_sph_tests_s2),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = Theta_2, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_2, type = c("Riesz", "Rayleigh"),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_2, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_2, type = c("Riesz", avail_sph_tests_s2),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_2, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_3, type = c("Riesz", "Rayleigh"),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_3, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_3, type = c("Riesz", avail_sph_tests_s2),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_3, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_4, type = c("Riesz", "Rayleigh"),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_4, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_4, type = c("Riesz", avail_sph_tests_s2),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_4, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_9, type = c("Riesz", "Rayleigh"),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_9, type = "Riesz", Riesz_s = 2)$Riesz)
)
expect_equal(
as.numeric(unif_stat(data = X_9, type = c("Riesz", avail_sph_tests_s2),
Riesz_s = 2)$Riesz),
as.numeric(unif_stat(data = X_9, type = "Riesz", Riesz_s = 2)$Riesz)
)
})
test_that("Riesz vs. Pycke", {
expect_equal(
as.numeric(unif_stat(data = Theta_2, type = c("Riesz", "Pycke"),
Riesz_s = 0)$Pycke),
as.numeric(unif_stat(data = Theta_2, type = "Pycke")$Pycke)
)
expect_equal(
as.numeric(unif_stat(data = X_2, type = c("Riesz", "Pycke"),
Riesz_s = 0)$Pycke),
as.numeric(unif_stat(data = X_2, type = "Pycke")$Pycke)
)
expect_equal(
as.numeric(unif_stat(data = X_3, type = c("Riesz", "Pycke"),
Riesz_s = 0)$Pycke),
as.numeric(unif_stat(data = X_3, type = "Pycke")$Pycke)
)
suppressWarnings(expect_warning(
expect_equal(
as.numeric(unif_stat(data = X_4, type = c("Riesz", "Pycke"),
Riesz_s = 0)$Riesz),
as.numeric(unif_stat(data = X_4, type = "Pycke")$Pycke)
)))
suppressWarnings(expect_warning(
expect_equal(
as.numeric(unif_stat(data = X_9, type = c("Riesz", "Pycke"),
Riesz_s = 0)$Riesz),
as.numeric(unif_stat(data = X_9, type = "Pycke")$Pycke)
)))
})
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