Nothing
# Unit tests for decompTs function
test_that("decompTs validates input and returns the expected class", {
# Create a valid monthly 'ts' object
x <- ts(rnorm(120), start = c(2000, 1), frequency = 12)
# Test if decompTs returns the expected class
expect_s3_class(decompTs(x), "mts")
expect_s3_class(decompTs(x, event = F), "mts")
})
test_that("decompTs throws an error for non-monthly 'ts' object", {
# Create a non-monthly 'ts' object
x <- ts(rnorm(100), start = c(2000, 1), frequency = 4)
# Test if decompTs throws an error
expect_error(decompTs(x), "x must be a monthly 'ts' vector")
})
test_that("decompTs correctly decomposes the time series", {
# Create a monthly 'ts' object
x <- ts(rnorm(120), start = c(2000, 1), frequency = 12)
# Test if decompTs decomposes the time series correctly
result <- decompTs(x)
expect_s3_class(result, "mts")
expect_equal(ncol(result), 5) # Check the number of components
# Check the components
expect_s3_class(result[, 1], "ts")
expect_s3_class(result[, 2], "ts")
expect_s3_class(result[, 3], "ts")
expect_s3_class(result[, 4], "ts")
expect_s3_class(result[, 5], "ts")
})
test_that("decompTs handles different type and center options", {
# Create a monthly 'ts' object
x <- ts(rnorm(120), start = c(2000, 1), frequency = 12)
# Test with type = "mult" and center = "median"
result1 <- decompTs(x, type = "mult", center = "median")
expect_s3_class(result1, "mts")
# Test with type = "add" and center = "mean"
result2 <- decompTs(x, type = "add", center = "mean")
expect_s3_class(result2, "mts")
})
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