X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2Ftests%2Ftestthat%2Ftest-computeFilaments.R;h=7e1cafa7a7317f08878cc3d514769585b4778f4f;hp=355d58d921818d0befa82660d417d77dac51f4dc;hb=c36568faefc97bb417d355e2084398c1ad1acf92;hpb=3ddf1c12af0c167fe7d3bb59e63258550270cfc5

diff --git a/pkg/tests/testthat/test-computeFilaments.R b/pkg/tests/testthat/test-computeFilaments.R
index 355d58d..7e1cafa 100644
--- a/pkg/tests/testthat/test-computeFilaments.R
+++ b/pkg/tests/testthat/test-computeFilaments.R
@@ -1,46 +1,12 @@
 context("computeFilaments")
 
-#shorthand: map 1->1, 2->2, 3->3, 4->1, ..., 149->2, 150->3
-I = function(i)
-	(i-1) %% 3 + 1
-
-#MOCK data; NOTE: could be in inst/testdata as well
-getDataTest = function(n)
-{
-	data = Data$new()
-	x = seq(0,9.5,0.1)
-	L = length(x) #96 1/4h
-	s1 = cos(x)
-	s2 = sin(x)
-	s3 = c( s1[1:(L%/%2)] , s2[(L%/%2+1):L] )
-	#sum((s1-s2)^2) == 96
-	#sum((s1-s3)^2) == 58
-	#sum((s2-s3)^2) == 38
-	s = list(s1, s2, s3)
-	series = list()
-	for (i in seq_len(n))
-	{
-		serie = s[[I(i)]] + rnorm(L,sd=0.01)
-		level = mean(serie)
-		serie = serie - level
-		# 10 series with NAs for index 2
-		if (I(i) == 2 && i >= 60 && i<= 90)
-			serie[sample(seq_len(L),1)] = NA
-		time = as.POSIXct(i*15*60, origin="2007-01-01", tz="GMT")
-		exo = runif(4)
-		exo_hat = runif(4)
-		data$append(time, serie, level, exo, exo_hat)
-	}
-	data
-}
-
 test_that("output is as expected on simulated series",
 {
 	data = getDataTest(150)
 
 	# index 143 : serie type 2
 	pred = computeForecast(data, 143, "Neighbors", "Zero",
-		horizon=length(data$getSerie(1)), simtype="endo", h_window=1)
+		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
 	f = computeFilaments(data, pred, 1, limit=60, plot=FALSE)
 
 	# Expected output: 50-3-10 series of type 2, then 23 series of type 3 (closest next)
@@ -63,7 +29,7 @@ test_that("output is as expected on simulated series",
 
 	# index 142 : serie type 1
 	pred = computeForecast(data, 142, "Neighbors", "Zero",
-		horizon=length(data$getSerie(1)), simtype="endo", h_window=1)
+		horizon=length(data$getSerie(1)), simtype="endo", local=FALSE, h_window=1)
 	f = computeFilaments(data, pred, 1, limit=50, plot=FALSE)
 
 	# Expected output: 50-10-3 series of type 1, then 13 series of type 3 (closest next)