Commit | Line | Data |
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a65907cc | 1 | context("Check that computeFilaments behaves as expected") |
1e20780e | 2 | |
af3b84f4 BA |
3 | #shorthand: map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3 |
4 | I = function(i) | |
5 | (i-1) %% 3 + 1 | |
6 | ||
44a9990b | 7 | #MOCK data; NOTE: could be in inst/testdata as well |
af3b84f4 | 8 | getDataTest = function(n) |
a65907cc | 9 | { |
af3b84f4 | 10 | data = Data$new() |
a65907cc BA |
11 | x = seq(0,10,0.1) |
12 | L = length(x) | |
13 | s1 = cos(x) | |
14 | s2 = sin(x) | |
15 | s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] ) | |
16 | #sum((s1-s2)^2) == 97.59381 | |
17 | #sum((s1-s3)^2) == 57.03051 | |
18 | #sum((s2-s3)^2) == 40.5633 | |
19 | s = list( s1, s2, s3 ) | |
a65907cc BA |
20 | series = list() |
21 | for (i in seq_len(n)) | |
1e20780e | 22 | { |
af3b84f4 BA |
23 | serie = s[[I(i)]] + rnorm(L,sd=0.01) |
24 | level = mean(serie) | |
25 | serie = serie - level | |
a65907cc | 26 | # 10 series with NAs for index 2 |
af3b84f4 | 27 | if (I(i) == 2 && i >= 60 && i<= 90) |
a65907cc | 28 | serie[sample(seq_len(L),1)] = NA |
af3b84f4 | 29 | data$append(c(), serie, level, c(), c()) #no need for more |
6d97bfec | 30 | } |
af3b84f4 | 31 | data |
6d97bfec BA |
32 | } |
33 | ||
af3b84f4 | 34 | test_that("output is as expected on simulated series", |
6d97bfec | 35 | { |
af3b84f4 | 36 | data = getDataTest(150) |
a65907cc | 37 | |
44a9990b BA |
38 | # index 143 : serie type 2 |
39 | f = computeFilaments(data, 143, limit=60, plot=FALSE) | |
af3b84f4 BA |
40 | # Expected output: 23 series of type 3 (closer), then 50-3-10 series of type 2, then 143 |
41 | expect_identical(length(f$indices), as.integer(61)) #61 because result also contain today | |
44a9990b | 42 | expect_identical(length(f$colors), as.integer(61)) |
af3b84f4 | 43 | expect_true(all(I(f$indices) >= 2)) |
44a9990b | 44 | for (i in 1:23) |
6d97bfec | 45 | { |
af3b84f4 | 46 | expect_equal(I(f$indices[i]), 3) |
44a9990b | 47 | expect_match(f$colors[i], f$colors[1]) |
6d97bfec | 48 | } |
44a9990b | 49 | for (i in 24:60) |
6d97bfec | 50 | { |
af3b84f4 | 51 | expect_equal(I(f$indices[i]), 2) |
44a9990b | 52 | expect_match(f$colors[i], f$colors[24]) |
6d97bfec | 53 | } |
44a9990b BA |
54 | expect_equal(f$indices[61], 143) |
55 | expect_match(f$colors[61], "#FF0000") #special color: current day in red | |
56 | expect_match(f$colors[1], "#E*") | |
57 | expect_match(f$colors[24], "#1*") | |
6d97bfec | 58 | |
af3b84f4 BA |
59 | # index 142 : serie type 1 |
60 | f = computeFilaments(data, 142, limit=50, plot=FALSE) | |
61 | # Expected output: 13 series of type 3 (closer), then 50-10-3 series of type 1, then 142 | |
44a9990b | 62 | # NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[ |
af3b84f4 BA |
63 | expect_identical(length(f$indices), as.integer(51)) |
64 | expect_identical(length(f$colors), as.integer(51)) | |
65 | expect_true(all(I(f$indices) != 2)) | |
66 | for (i in 1:13) | |
6d97bfec | 67 | { |
af3b84f4 | 68 | expect_equal(I(f$indices[i]), 3) |
6d97bfec BA |
69 | expect_match(f$colors[i], f$colors[1]) |
70 | } | |
af3b84f4 | 71 | for (i in 14:50) |
6d97bfec | 72 | { |
af3b84f4 BA |
73 | expect_equal(I(f$indices[i]), 1) |
74 | expect_match(f$colors[i], f$colors[14]) | |
6d97bfec | 75 | } |
af3b84f4 BA |
76 | expect_equal(f$indices[51], 142) |
77 | expect_match(f$colors[51], "#FF0000") | |
44a9990b | 78 | expect_match(f$colors[1], "#E*") |
af3b84f4 | 79 | expect_match(f$colors[14], "#1*") |
1e20780e | 80 | }) |