Nothing
context("Advanced Time Series Objects Input")
test_that("tsibble objects", {
skip_on_cran()
if (!requireNamespace("tsibble", quietly = TRUE)) {
warning("Pkg tsibble needed for this test.",
call. = FALSE
)
}
else {
require("tsibble")
x <- as_tsibble(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("Multivariate tsibble ", {
skip_on_cran()
if (!requireNamespace("tsibble", quietly = TRUE)) {
warning("Pkg tsibble needed for this test.",
call. = FALSE
)
}
else {
require("tsibble")
x <- data.frame(tsAirgap, tsAirgap)
x <- as.ts(x)
x <- as_tsibble(x)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("tibble objects", {
skip_on_cran()
if (!requireNamespace("tibble", quietly = TRUE)) {
warning("Pkg tibble needed for this test.",
call. = FALSE
)
}
else {
require("tibble")
x <- as_tibble(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("multivariate tibble objects", {
skip_on_cran()
if (!requireNamespace("tibble", quietly = TRUE)) {
warning("Pkg tibble needed for this test.",
call. = FALSE
)
}
else {
require("tibble")
x <- data.frame(tsAirgap, tsAirgap, tsAirgapComplete)
z <- as_tibble(x)
expect_false(anyNA(na_mean(z)))
expect_false(anyNA(na_kalman(z)))
expect_false(anyNA(na_interpolation(z)))
expect_false(anyNA(na_locf(z)))
expect_false(anyNA(na_ma(z)))
expect_false(anyNA(na_random(z)))
expect_false(anyNA(na_seadec(z)))
expect_false(anyNA(na_seasplit(z)))
expect_false(anyNA(na_replace(z)))
}
})
test_that("multivariate tibble objects - non-numeric input", {
skip_on_cran()
if (!requireNamespace("tibble", quietly = TRUE)) {
warning("Pkg tibble needed for this test.",
call. = FALSE
)
}
else {
require("tibble")
x <- data.frame(rep("x", 144), tsAirgap, tsAirgap, rep("qq", 144), tsAirgapComplete)
z <- as_tibble(x)
expect_false(anyNA(na_mean(z)))
expect_false(anyNA(na_kalman(z)))
expect_false(anyNA(na_interpolation(z)))
expect_false(anyNA(na_locf(z)))
expect_false(anyNA(na_ma(z)))
expect_false(anyNA(na_random(z)))
expect_false(anyNA(na_seadec(z)))
expect_false(anyNA(na_seasplit(z)))
expect_false(anyNA(na_replace(z)))
}
})
test_that("zoo objects", {
skip_on_cran()
if (!requireNamespace("zoo", quietly = TRUE)) {
warning("Pkg zoo needed for this test.",
call. = FALSE
)
}
else {
require("zoo")
x <- as.zoo(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("multivariate zoo objects", {
skip_on_cran()
if (!requireNamespace("zoo", quietly = TRUE)) {
warning("Pkg zoo needed for this test.",
call. = FALSE
)
}
else {
require("zoo")
require("stats")
time <- base::seq(
from = zoo::as.Date(zoo::as.yearmon(stats::start(tsAirgap)))[1], by = "month",
length.out = length(tsAirgap)
)
x <- data.frame(time, zoo::coredata(tsAirgap), zoo::coredata(tsAirgap), zoo::coredata(tsAirgapComplete))
z <- zoo::read.zoo(x, format = "%Y-%m-%d")
expect_false(anyNA(na_mean(z)))
expect_false(anyNA(na_kalman(z)))
expect_false(anyNA(na_interpolation(z)))
expect_false(anyNA(na_locf(z)))
expect_false(anyNA(na_ma(z)))
expect_false(anyNA(na_random(z)))
expect_false(anyNA(na_seadec(z)))
expect_false(anyNA(na_seasplit(z)))
expect_false(anyNA(na_replace(z)))
}
})
test_that("xts objects", {
skip_on_cran()
if (!requireNamespace("xts", quietly = TRUE)) {
warning("Pkg xts needed for this test.",
call. = FALSE
)
}
else {
require("xts")
x <- as.xts(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("timeSeries objects", {
skip_on_cran()
if (!requireNamespace("timeSeries", quietly = TRUE)) {
warning("Pkg timeSeries needed for this test.",
call. = FALSE
)
}
else {
require("timeSeries")
x <- as.timeSeries(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("tis objects", {
skip_on_cran()
if (!requireNamespace("tis", quietly = TRUE)) {
warning("Pkg timeSeries needed for this test.",
call. = FALSE
)
}
else {
require("tis")
x <- as.tis(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
# expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
}
})
test_that("Imputation works for mts", {
skip_on_cran()
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap, tsAirgap, tsAirgapComplete)
x <- ts(x)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
})
test_that("Imputation works for data.frame", {
skip_on_cran()
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap, tsAirgap, tsAirgapComplete)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
})
test_that("Imputation works for data.frame univariate", {
skip_on_cran()
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
})
test_that("Imputation works for matrix", {
skip_on_cran()
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap, tsAirgap, tsAirgapComplete)
x <- as.matrix(x)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
})
test_that("Imputation works for matrix univariate", {
skip_on_cran()
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap)
x <- as.matrix(x)
expect_false(anyNA(na_mean(x)))
expect_false(anyNA(na_kalman(x)))
expect_false(anyNA(na_interpolation(x)))
expect_false(anyNA(na_locf(x)))
expect_false(anyNA(na_ma(x)))
expect_false(anyNA(na_random(x)))
expect_false(anyNA(na_seadec(x)))
expect_false(anyNA(na_seasplit(x)))
expect_false(anyNA(na_replace(x)))
})
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