Nothing
skip_on_cran()
if (!x13binary::supportedPlatform()) skip("platform not supported")
test_that("defaults are not in m$list (#251)", {
m <- seas(mdeaths)
expect_identical(names(m$list), "x")
})
test_that("'fts' import via series works (#240)", {
m <- seas(AirPassengers, arima.model = '(0 1 1)(0 1 1)', outlier.types = "all", outlier.save = "fts")
expect_false(any(is.na(m$series$fts[,'t.TC.'])))
})
test_that("update works with out = TRUE (#259)", {
m <- seas(mdeaths)
m1 <- update(m, out = TRUE)
expect_s3_class(m1, "seas")
expect_true(file.exists(out(m1, browser = NULL)))
expect_true(file.exists(out(m, browser = NULL)))
})
test_that("list arguments works with coefs", {
m0 <- seas(
x = AirPassengers,
regression.variables = c("td1coef", "easter[1]", "ao1951.May"),
arima.model = "(0 1 1)(0 1 1)",
regression.aictest = NULL,
outlier = NULL,
transform.function = "log",
regression.b = c("-0.002949699141f", "0.01776737357f", "0.1001558244f"),
arima.ma = c("0.1156204139f", "0.4973600193f")
)
m1 <- seas(
list = list(
x = AirPassengers,
regression.variables = c("td1coef", "easter[1]", "ao1951.May"),
arima.model = "(0 1 1)(0 1 1)",
regression.aictest = NULL,
outlier = NULL,
transform.function = "log",
regression.b = c("-0.002949699141f", "0.01776737357f", "0.1001558244f"),
arima.ma = c("0.1156204139f", "0.4973600193f")
)
)
expect_equal(final(m0), final(m1))
})
test_that("seas works with forking parallelization #276", {
skip_on_os("windows")
library(parallel)
library(seasonal)
runs <- mclapply(1:2, function(x) seas(AirPassengers), mc.cores = 2)
expect_false(any(sapply(runs, inherits, "try-error")))
})
test_that("annual series are read correctly #264", {
y <- ts(c(41,39.8,40,40.5,37.8,37.3,34.6,36.1,37.1,32.9,35,33.4,34.7,36.2,38.1),freq=1,start=2005)
m <- seas(y,x11=NULL,seats=NULL,regression.aictest = NULL,forecast.maxlead=1, forecast.save = "fct")
expect_true(time(m$series$fct)[1] == 2020)
})
test_that("January first can be used in genhol() #261", {
holiday <- structure(c(8401, 8766, 9131, 9496, 9862, 10227, 10592, 10957,
11323, 11688, 12053, 12418, 12784, 13149, 13514, 13879, 14245,
14610, 14975, 15340, 15706, 16071, 16436, 16801, 17167, 17532,
17897, 18262, 18628), class = "Date", control = c(method = "trunc",
FinCenter = "GMT"))
ans <- seasonal::genhol(x = holiday, frequency = 12, center = "calendar")
expect_s3_class(ans, "ts")
})
test_that("genhol() produces correct result in 1931 #193", {
ans <- genhol(easter, start = -46, end = 0, frequency = 12)
expect_equal(sum(abs(rowSums(matrix(ans, ncol = 12, byrow = TRUE)) - 1)), 0)
})
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