pkg/tests/testthat/test.computeFilaments.R

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