1 context("computeFilaments")
3 test_that("output is as expected on simulated series",
5 data = getDataTest(150)
7 # index 144 : serie type 3, yersteday type 2
8 pred = computeForecast(data, 144, "Neighbors", "Zero", predict_from=1,
9 horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, window=1, opera=TRUE)
10 f = computeFilaments(data, pred, 1, limit=60, plot=FALSE)
12 # Expected output: 50-3-10 series of type 2+1 = 3,
13 # then 23 series of type 3+1 %% 3 = 1 (3 = closest next)
14 expect_identical(length(f$neighb_indices), as.integer(60))
15 expect_identical(length(f$colors), as.integer(60))
16 expect_equal(f$index, 144)
17 expect_true(all(I(f$neighb_indices) != 2))
20 expect_equal(I(f$neighb_indices[i]), 3)
21 expect_match(f$colors[i], f$colors[1])
25 expect_equal(I(f$neighb_indices[i]), 1)
26 expect_match(f$colors[i], f$colors[38])
28 expect_match(f$colors[1], "#1*")
29 expect_match(f$colors[38], "#E*")
31 # index 143 : serie type 2
32 pred = computeForecast(data, 143, "Neighbors", "Zero", predict_from=1,
33 horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, window=1, opera=TRUE)
34 f = computeFilaments(data, pred, 1, limit=50, plot=FALSE)
36 # Expected output: 50-10-3 series of type 1+1=2,
37 # then 13 series of type 3+1 %% 3 = 1 (closest next)
38 # NOTE: -10 because only past tomorrows with no-NAs yerstedays
39 # => exclude type 2 in [60,90[
40 expect_identical(length(f$neighb_indices), as.integer(50))
41 expect_identical(length(f$colors), as.integer(50))
42 expect_equal(f$index, 143)
43 expect_true(all(I(f$neighb_indices) <= 2))
46 expect_equal(I(f$neighb_indices[i]), 2)
47 expect_match(f$colors[i], f$colors[1])
51 expect_equal(I(f$neighb_indices[i]), 1)
52 expect_match(f$colors[i], f$colors[38])
54 expect_match(f$colors[1], "#1*")
55 expect_match(f$colors[38], "#E*")