1 context("Check that computeFilaments behaves as expected")
3 test_that("output is as expected on simulated series",
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 )
19 level = mean(s[[index]])
20 serie = s[[index]] - level + rnorm(L,sd=0.05)
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
26 data = new("Data", data=series)
28 # index 142 : serie type 2
29 f2 = computeFilaments(data, 142, limit=60, plot=FALSE)
30 # Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
37 # Simulate shift at origin when predict_at > 0
38 series[2:(n+1)] = series[1:n]
39 series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
40 # index 143 : serie type 3
41 f3 = computeFilaments(data, 143, limit=70, plot=FALSE)
42 # Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
46 # index 144 : serie type 1
47 f1 = computeFilaments(data, 144, limit=50, plot=FALSE)
48 # Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
50 expect_that( diff_norm, is_less_than(0.5) )