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))) })