Nothing
# Test decomp with valid inputs
test_that("decomp decomposes the input data correctly", {
# Call the function
result <- decomp(dcmdat, param = 'do_mgl', frequency = 'daily')
# Check if the result is a decompose object
expect_s3_class(result, "decomposed.ts")
# use na.approx to interpolate missing data
datin <- na.approx(wq, params = 'do_mgl', maxgap = 1e6)
# Call the function
result <- decomp(datin, param = 'do_mgl', frequency = 'annual')
# Check if the result is a decompose object
expect_s3_class(result, "decomposed.ts")
})
# Test decomp with invalid parameter name
test_that("decomp throws an error for invalid parameter name", {
# Call the function with an invalid parameter name
expect_error(decomp(dcmdat, param = "param"), "Params argument must name input columns")
# default method
expect_error(decomp(data.frame(dcmdat), param = "param"), "Params argument must name input columns")
})
test_that("decomp throws an error with incorrect frequency or start argument", {
expect_error(decomp(dcmdat, param = "do_mgl", frequency = 'asdf'), "Chr string input for frequency must be 'daily' or 'annual'")
expect_error(decomp(dcmdat, param = "do_mgl", frequency = 96), "Start argument required if frequency is numeric")
})
# Test decomp with non-standardized time step
test_that("decomp throws an error for non-standardized time step", {
# Call the function
expect_error(decomp(apacpnut, param = "chla_n"), "The time step is not standardized, use setstep")
})
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