Nothing
context("na_interpolation")
test_that("All NA vector throws error", {
expect_error(na_interpolation(c(NA, NA, NA, NA, NA)))
})
test_that("Correct results for all options with a modifed tsAirgap dataset (additionalNAs at end)", {
skip_on_cran()
# Using mean over resulting vector to check correctness
# In order to avoid writing down the complete resulting vector
# Using rounded version in order to avoid writing down all decimals
x <- tsAirgap
x[135:144] <- NA
expect_equal(round(mean(na_interpolation(x, option = "linear", rule = 1), na.rm = T), digits = 1), 264.9)
expect_equal(round(mean(na_interpolation(x, option = "linear")), digits = 1), 273.6)
expect_equal(round(mean(na_interpolation(x, option = "spline")), digits = 1), 276.2)
expect_equal(round(mean(na_interpolation(x, option = "stine")), digits = 1), 273.4)
})
test_that("Correct results for all options with a modifed tsAirgap dataset (additionalNAs at start)", {
skip_on_cran()
# Using mean over resulting vector to check correctness
# In order to avoid writing down the complete resulting vector
# Using rounded version in order to avoid writing down all decimals
x <- tsAirgap
x[1:5] <- NA
expect_equal(round(mean(na_interpolation(x, option = "linear", rule = 1), na.rm = T), digits = 1), 286.4)
expect_equal(round(mean(na_interpolation(x, option = "linear")), digits = 1), 281.1)
expect_equal(round(mean(na_interpolation(x, option = "spline")), digits = 1), 283.0)
expect_equal(round(mean(na_interpolation(x, option = "stine")), digits = 1), 280.8)
})
test_that("Correct results for all options with the tsAirgap dataset", {
skip_on_cran()
# Using mean over resulting vector to check correctness
# In order to avoid writing down the complete resulting vector
# Using rounded version in order to avoid writing down all decimals
x <- tsAirgap
expect_equal(round(mean(na_interpolation(x, option = "linear", rule = 1), na.rm = T), digits = 1), 280.7)
expect_equal(round(mean(na_interpolation(x, option = "linear")), digits = 1), 280.7)
expect_equal(round(mean(na_interpolation(x, option = "spline")), digits = 1), 280.1)
expect_equal(round(mean(na_interpolation(x, option = "stine")), digits = 1), 280.5)
})
test_that("Imputation works for data.frame", {
# Checking if NAs remain in data.frame
x <- data.frame(tsAirgap, tsAirgap, tsAirgapComplete)
expect_false(anyNA(na_interpolation(x, option = "linear", rule = 1)))
expect_false(anyNA(na_interpolation(x, option = "linear")))
expect_false(anyNA(na_interpolation(x, option = "spline")))
expect_false(anyNA(na_interpolation(x, option = "stine")))
})
test_that("Warning for wrong input for option parameter", {
expect_error(na_interpolation(tsAirgap, option = "wrongOption"))
})
test_that("Test NA at beginning", {
x <- tsAirgap
x[1:2] <- NA
expect_equal(length(na.omit(na_interpolation(x, option = "linear", rule = 1))), 142)
expect_false(anyNA(na_interpolation(x, option = "linear")))
expect_false(anyNA(na_interpolation(x, option = "spline")))
expect_false(anyNA(na_interpolation(x, option = "stine")))
expect_false(anyNA(na_interpolation(x)))
})
test_that("Test NA at end", {
x <- tsAirgap
x[143:144] <- NA
expect_equal(length(na.omit(na_interpolation(x, option = "linear", rule = 1))), 142)
expect_false(anyNA(na_interpolation(x, option = "linear")))
expect_false(anyNA(na_interpolation(x, option = "spline")))
expect_false(anyNA(na_interpolation(x, option = "stine")))
expect_false(anyNA(na_interpolation(x)))
})
test_that("Multiple NAs in a row", {
x <- tsAirgap
x[40:80] <- NA
expect_equal(length(na.omit(na_interpolation(x, option = "linear", rule = 1))), 144)
expect_false(anyNA(na_interpolation(x, option = "linear")))
expect_false(anyNA(na_interpolation(x, option = "spline")))
expect_false(anyNA(na_interpolation(x, option = "stine")))
expect_false(anyNA(na_interpolation(x)))
})
test_that("Over 90% NAs", {
x <- tsAirgap
x[10:140] <- NA
expect_equal(length(na.omit(na_interpolation(x, option = "linear", rule = 1))), 144)
expect_false(anyNA(na_interpolation(x, option = "linear")))
expect_false(anyNA(na_interpolation(x, option = "spline")))
expect_false(anyNA(na_interpolation(x, option = "stine")))
expect_false(anyNA(na_interpolation(x)))
})
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