[talweg.git] / pkg / tests / testthat / test.computeFilaments.R

context("Check that computeFilaments behaves as expected")

test_that("output is as expected on simulated series",
{
	x = seq(0,10,0.1)
	L = length(x)
	s1 = cos(x)
	s2 = sin(x)
	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
	#sum((s1-s2)^2) == 97.59381
	#sum((s1-s3)^2) == 57.03051
	#sum((s2-s3)^2) == 40.5633
	s = list( s1, s2, s3 )
	n = 150
	series = list()
	for (i in seq_len(n))
	{
		index = (i%%3) + 1
		level = mean(s[[index]])
		serie = s[[index]] - level + rnorm(L,sd=0.05)
		# 10 series with NAs for index 2
		if (index == 2 && i >= 60 && i<= 90)
			serie[sample(seq_len(L),1)] = NA
		series[[i]] = list("level"=level,"serie"=serie) #no need for more
	}
	data = new("Data", data=series)

	# index 142 : serie type 2
	f2 = computeFilaments(data, 142, limit=60, plot=FALSE)
	# Expected output: 22 series of type 3 (closer), then 50-2-10 series of type 2
	#
	#
	#
	#
	#
	#
	# Simulate shift at origin when predict_at > 0
	series[2:(n+1)] = series[1:n]
	series[[1]] = list("level"=0, "serie"=s[[1]][1:(L%/%2)])
	# index 143 : serie type 3
	f3 = computeFilaments(data, 143, limit=70, plot=FALSE)
	# Expected output: 22 series of type 2 (closer) then 50-2 series of type 3
	# ATTENTION au shift
	#
	#
	# index 144 : serie type 1
	f1 = computeFilaments(data, 144, limit=50, plot=FALSE)
	# Expected output: 2 series of type 3 (closer), then 50-2 series of type 1
	#
	expect_that( diff_norm, is_less_than(0.5) )
})
Commit	Line	Data
a65907cc	1	context("Check that computeFilaments behaves as expected")
1e20780e	2
a65907cc BA	3	test_that("output is as expected on simulated series",
	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	n = 150
	15	series = list()
	16	for (i in seq_len(n))
1e20780e	17	{
a65907cc BA	18	index = (i%%3) + 1
	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
1e20780e	25	}
a65907cc BA	26	data = new("Data", data=series)
	27
	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
	31	#
	32	#
	33	#
	34	#
	35	#
	36	#
	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
	43	# ATTENTION au shift
	44	#
	45	#
	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
	49	#
	50	expect_that( diff_norm, is_less_than(0.5) )
1e20780e	51	})