X-Git-Url: https://git.auder.net/?p=talweg.git;a=blobdiff_plain;f=pkg%2Ftests%2Ftestthat%2Ftest.integerIndexToDate.R;h=31cd740b567a1a81928e31f06e08b10590c17616;hp=5f0008f541e78aa02e2926c9a30bf211a2a4f29c;hb=a65907cc939a5fe419613d3ba555b1d1c1af97d3;hpb=69bcd8bcd649c53e456e7e1532b38d2fdb48d9e2

diff --git a/pkg/tests/testthat/test.integerIndexToDate.R b/pkg/tests/testthat/test.integerIndexToDate.R
index 5f0008f..31cd740 100644
--- a/pkg/tests/testthat/test.integerIndexToDate.R
+++ b/pkg/tests/testthat/test.integerIndexToDate.R
@@ -1,34 +1,22 @@
-context("Check that getParamsDirs behaves as expected")
+context("Check that integerIndexToDate behaves as expected")
 
-test_that("on input of sufficient size, beta is estimated accurately enough", {
-	n = 100000
-	d = 2
-	K = 2
-	Pr = c(0.5, 0.5)
+test_that("date matches index in data",
+{
+	#TODO: with and without shift at origin (so series values at least forst ones are required)
 
-	betas_ref = array( c(1,0,0,1 , 1,-2,3,1), dim=c(2,2,2) )
-	for (i in 1:(dim(betas_ref)[3]))
+	n = 1500
+	series = list()
+	for (i in seq_len(n))
 	{
-		beta_ref = betas_ref[,,i]
-		#all parameters are supposed to be of norm 1: thus, normalize beta_ref
-		norm2 = sqrt(colSums(beta_ref^2))
-		beta_ref = beta_ref / norm2[col(beta_ref)]
-
-		io = generateSampleIO(n, d, K, Pr, beta_ref)
-		beta = getParamsDirs(io$X, io$Y, K)
-		betas = .labelSwitchingAlign(
-			array( c(beta_ref,beta), dim=c(d,K,2) ), compare_to="first", ls_mode="exact")
-
-		#Some traces: 0 is not well estimated, but others are OK
-		cat("\n\nReference parameter matrix:\n")
-		print(beta_ref)
-		cat("Estimated parameter matrix:\n")
-		print(betas[,,2])
-		cat("Difference norm (Matrix norm ||.||_1, max. abs. sum on a column)\n")
-		diff_norm = norm(beta_ref - betas[,,2])
-		cat(diff_norm,"\n")
-
-		#NOTE: 0.5 is loose threshold, but values around 0.3 are expected...
-		expect_that( diff_norm, is_less_than(0.5) )
+		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 :: si : time !!!
 	}
+	data = new("Data", data=series)
+
+	integerIndexToDate = function(index, data)
 })