context("test SimProxySeries")
test_that("gen.ran.seq", {
## these tests need to run first so that there is no prior .Random.seed value
rseq <- gen.ran.seq(10, 3, 1)
expect_equal(dim(rseq), c(10, 3))
rseq <- gen.ran.seq(10, 1, 1)
expect_equal(dim(rseq), c(10, 1))
})
test_that("nser produces nser replicates", {
nt <- 10
ts1 <- SimProxySeries(a = 1, b = 1, nt = nt)
expect_equal(length(ts1), nt)
expect_vector(ts1)
nser <- 3
ts2 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser)
expect_equal(dim(ts2), c(nt, nser))
expect_true(is.matrix(ts2))
expect_equal(ncol(ts2), nser)
expect_equal(nrow(ts2), nt)
})
test_that("rseeds", {
nt <- 10
nser <- 3
ts3 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, NA, NA))
expect_equal(ts3[,1], ts3[,2])
ts4 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, NA, 1),
var.noise = 1)
expect_equal(ts4[,1], ts4[,2])
ts5 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, 1, NA),
var.noise = 1)
expect_true(all(ts5[,1] != ts5[,2]))
ts6 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, 1, NA),
smth.arch = list(type = "bioturbation", tau = 10), N = 3)
expect_equal(ts6[,1], ts6[,2])
# test Random.seed is reset
# if (exists(".Random.seed")){
# rs <- .Random.seed
# } else {
# rs <- NULL
# }
set.seed(4)
rs1 <- .Random.seed
ts7 <- SimProxySeries(a = -1, b = 1, nt = nt, nser = nser, rseeds = c(1, 1, 1),
smth.arch = list(type = "bioturbation", tau = 10), N = 3)
expect_equal(rs1, .Random.seed)
ts8 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, NA, 1),
smth.lab = list(type = "rect", tau = 1),
N = 3)
expect_false(all(ts8[,1] == ts8[,2]))
ts9 <- SimProxySeries(a = 1, b = 1, nt = nt, nser = nser, rseeds = c(1, NA, 1),
smth.arch = list(type = "diffusion", tau = 10),
N = 3)
expect_false(all(ts9[,1] == ts9[,2]))
})
test_that("test true spectra", {
nt <- 10
nser <- 3
a <- 0.1
b <- 1.023
sp0 <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 0)
sp1 <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 1)
sp2 <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 2)
sp3 <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 3)
sp4 <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 4)
expect_true(is.matrix(sp0))
expect_false(is.matrix(sp1))
expect_false(is.matrix(sp2))
expect_false(is.matrix(sp3))
expect_false(is.matrix(sp4))
expect_false(is.list(sp0))
expect_true(is.list(sp1))
expect_true(is.list(sp2))
expect_true(is.list(sp3))
expect_length(sp1$fax, nt/2)
expect_length(sp2$fax, nt/2)
expect_length(sp3$fax, nt)
expect_length(sp4$fax, nt)
sp1b <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 1, t.smpl = 1:2)
sp3b <- SimProxySeries(a = a, b = b, nt = nt, nser = nser, val = 3, t.smpl = 1:2)
expect_length(sp1, 2)
expect_length(sp1b, 3)
expect_length(sp3, 2)
expect_length(sp3b, 3)
})
test_that("arbitrary time points", {
nt <- 10
tpts <- c(1,3,7,9)
ts1 <- SimProxySeries(a = 1, b = 1, nt = nt, t.smpl = tpts)
expect_length(ts1, length(tpts))
})
test_that("alias", {
nt <- 10
tpts <- c(1,3,7,9)
ts1 <- sim.proxy.series(a = 1, b = 1, nt = nt, t.smpl = tpts)
expect_length(ts1, length(tpts))
})
test_that("gen.ran.seq", {
rseq <- gen.ran.seq(10, 3, 1)
expect_equal(dim(rseq), c(10, 3))
rseq <- gen.ran.seq(10, 1, 1)
expect_equal(dim(rseq), c(10, 1))
})
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