pkg/tests/testthat/test.computeFilaments.R

   1 context("Check that computeFilaments behaves as expected")
   2
   3 getDataTest = function(n, shift)
   4 {
   5     x = seq(0,10,0.1)
   6     L = length(x)
   7     s1 = cos(x)
   8     s2 = sin(x)
   9     s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
  10     #sum((s1-s2)^2) == 97.59381
  11     #sum((s1-s3)^2) == 57.03051
  12     #sum((s2-s3)^2) == 40.5633
  13     s = list( s1, s2, s3 )
  14     series = list()
  15     for (i in seq_len(n))
  16     {
  17         index = (i%%3) + 1
  18         level = mean(s[[index]])
  19         serie = s[[index]] - level + rnorm(L,sd=0.05)
  20         # 10 series with NAs for index 2
  21         if (index == 2 && i >= 60 && i<= 90)
  22             serie[sample(seq_len(L),1)] = NA
  23         series[[i]] = list("level"=level,"serie"=serie) #no need for more
  24     }
  25     if (shift)
  26     {
  27         # Simulate shift at origin when predict_at > 0
  28         series[2:(n+1)] = series[1:n]
  29         series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
  30     }
  31     new("Data", data=series)
  32 }
  33
  34 test_that("output is as expected on simulated series",
  35 {
  36     data = getDataTest(150, FALSE)
  37
  38     # index 142 : serie type 2
  39     f = computeFilaments(data, 142, limit=60, plot=FALSE)
  40     # Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
  41     expect_identical(length(f$indices), 60)
  42     expect_identical(length(f$colors), 60)
  43     for (i in 1:22)
  44     {
  45         expect_identical((f$indices[i] %% 3) + 1, 3)
  46         expect_match(f2$colors[i], f$colors[1])
  47     }
  48     for (i in 23:60)
  49     {
  50         expect_identical((f$indices[i] %% 3) + 1, 2)
  51         expect_match(f2$colors[i], f$colors[23])
  52     }
  53     expect_match(colors[1], "...")
  54     expect_match(colors[23], "...")
  55 })
  56
  57 test_that("output is as expected on simulated series",
  58 {
  59     data = getDataTest(150, TRUE)
  60
  61     # index 143 : serie type 3
  62     f = computeFilaments(data, 143, limit=70, plot=FALSE)
  63     # Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
  64     expect_identical(length(f$indices), 70)
  65     expect_identical(length(f$colors), 70)
  66     for (i in 1:22)
  67     {
  68         # -1 because of the initial shift
  69         expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 2)
  70         expect_match(f$colors[i], f$colors[1])
  71     }
  72     for (i in 23:70)
  73     {
  74         expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
  75         expect_match(f$colors[i], f$colors[23])
  76     }
  77     expect_match(colors[1], "...")
  78     expect_match(colors[23], "...")
  79 })
  80
  81 test_that("output is as expected on simulated series",
  82 {
  83     data = getDataTest(150, TRUE)
  84
  85     # index 144 : serie type 1
  86     f = computeFilaments(data, 144, limit=50, plot=FALSE)
  87     # Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
  88     expect_identical(length(f$indices), 50)
  89     expect_identical(length(f$colors), 50)
  90     for (i in 1:2)
  91     {
  92         # -1 because of the initial shift
  93         expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 3)
  94         expect_match(f$colors[i], f$colors[1])
  95     }
  96     for (i in 3:50)
  97     {
  98         expect_identical(( (f$indices[i]-1) %% 3 ) + 1, 1)
  99         expect_match(f$colors[i], f$colors[3])
 100     }
 101     expect_match(colors[1], "...")
 102     expect_match(colors[3], "...")
 103 })