pkg/tests/testthat/test.computeFilaments.R

   1 context("Check that computeFilaments behaves as expected")
   2
   3 #MOCK data; NOTE: could be in inst/testdata as well
   4 getDataTest = function(n, shift)
   5 {
   6     x = seq(0,10,0.1)
   7     L = length(x)
   8     s1 = cos(x)
   9     s2 = sin(x)
  10     s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
  11     #sum((s1-s2)^2) == 97.59381
  12     #sum((s1-s3)^2) == 57.03051
  13     #sum((s2-s3)^2) == 40.5633
  14     s = list( s1, s2, s3 )
  15     series = list()
  16     for (i in seq_len(n))
  17     {
  18         index = (i-1) %% 3 + 1 #map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3
  19         level = mean(s[[index]])
  20         serie = s[[index]] - level + rnorm(L,sd=0.01)
  21         # 10 series with NAs for index 2
  22         if (index == 2 && i >= 60 && i<= 90)
  23             serie[sample(seq_len(L),1)] = NA
  24         series[[i]] = list("level"=level,"serie"=serie) #no need for more
  25     }
  26     if (shift)
  27     {
  28         # Simulate shift at origin when predict_at > 0
  29         series[2:(n+1)] = series[1:n]
  30         series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
  31     }
  32     new("Data", data=series)
  33 }
  34
  35 test_that("output is as expected on simulated series, predict_at == 0",
  36 {
  37     data = getDataTest(150, shift=FALSE)
  38
  39     # index 143 : serie type 2
  40     f = computeFilaments(data, 143, limit=60, plot=FALSE)
  41     # Expected output: 23 series of type 3 (closer), then 50-3-10 series of type 2, then index 143
  42     expect_identical(length(f$indices), as.integer(61)) #61 because result also contain "today"
  43     expect_identical(length(f$colors),  as.integer(61))
  44     for (i in 1:23)
  45     {
  46         expect_equal((f$indices[i]-1) %% 3 + 1, 3)
  47         expect_match(f$colors[i], f$colors[1])
  48     }
  49     for (i in 24:60)
  50     {
  51         expect_equal((f$indices[i]-1) %% 3 + 1, 2)
  52         expect_match(f$colors[i], f$colors[24])
  53     }
  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*")
  58 })
  59
  60 test_that("output is as expected on simulated series, predict_at > 0",
  61 {
  62     data = getDataTest(150, shift=TRUE)
  63
  64     # index 142 : serie type 3
  65     f = computeFilaments(data, 142, limit=70, plot=FALSE)
  66     # Expected output: 24 series of type 2 (closer) then 50-4 series of type 3, then 142
  67     expect_identical(length(f$indices), as.integer(71))
  68     expect_identical(length(f$colors), as.integer(71))
  69     expect_true(all(f$indices >= 2)) #no type-1 neighbors
  70     for (i in 1:24)
  71     {
  72         # -1 + -1 because of the initial shift
  73         expect_equal((f$indices[i]-2) %% 3 + 1, 2)
  74         expect_match(f$colors[i], f$colors[1])
  75     }
  76     for (i in 25:70)
  77     {
  78         expect_equal((f$indices[i]-2) %% 3 + 1, 3)
  79         expect_match(f$colors[i], f$colors[25])
  80     }
  81     expect_equal(f$indices[71], 142)
  82     expect_match(f$colors[71], "#FF0000")
  83     expect_match(f$colors[1], "#E*")
  84     expect_match(f$colors[25], "#1*")
  85 })
  86
  87 test_that("output is as expected on simulated series",
  88 {
  89     data = getDataTest(150, shift=TRUE)
  90
  91     # index 143 : serie type 1
  92     f = computeFilaments(data, 143, limit=60, plot=FALSE)
  93     # Expected output: 23 series of type 3 (closer), then 50-10-3 series of type 1, then 143
  94     # NOTE: -10 because only past days with no-NAs tomorrow => exclude type 1 in [60,90[
  95     expect_identical(length(f$indices), as.integer(61))
  96     expect_identical(length(f$colors), as.integer(61))
  97     expect_true(all(f$indices >= 2)) #first_day should be 2
  98     for (i in 1:23)
  99     {
 100         expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 3)
 101         expect_match(f$colors[i], f$colors[1])
 102     }
 103     for (i in 24:60)
 104     {
 105         expect_equal(( (f$indices[i]-2) %% 3 ) + 1, 1)
 106         expect_match(f$colors[i], f$colors[24])
 107     }
 108     expect_equal(f$indices[61], 143)
 109     expect_match(f$colors[61], "#FF0000")
 110     expect_match(f$colors[1], "#E*")
 111     expect_match(f$colors[24], "#1*")
 112 })