testthat::context("Testing the imputation of missing values")
testthat::test_that("No NAs, serial", {
library(seewave)
bpparam <- SerialParam(log = TRUE, threshold = "INFO")
data <- as.matrix(Hilbert(50))
set.seed(1, kind = "Mersenne-Twister")
res <- imputeMissingData(
data = data, BPPARAM = bpparam,
rowBlockSize = 10, colBlockSize = 10, outputFormat = ""
)
colnames(res) <- NULL
testthat::expect_equal(object = as.vector(res), expected = as.vector(data))
})
testthat::test_that("NAs, serial", {
library(seewave)
bpparam <- SerialParam(log = TRUE, threshold = "INFO")
data <- as.matrix(Hilbert(50))
data_missing <- data
data_missing[1, 3] <- NA
data_missing[9, 5] <- NA
set.seed(1, kind = "Mersenne-Twister")
res <- imputeMissingData(
data = data_missing, BPPARAM = bpparam,
rowBlockSize = 10, colBlockSize = 10, outputFormat = ""
)
colnames(res) <- NULL
data[1, 3] <- 0.116
data[9, 5] <- 0.020
testthat::expect_equal(object = as.vector(res), expected = as.vector(data),
tolerance = .01)
})
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