X-Git-Url: https://git.auder.net/?a=blobdiff_plain;f=epclust%2Ftests%2Ftestthat%2Ftest.computeMedoidsIndices.R;fp=epclust%2Ftests%2Ftestthat%2Ftest.computeMedoidsIndices.R;h=0000000000000000000000000000000000000000;hb=40f12a2f66d06fd77183ea02b996f5c66f90761c;hp=8347fb6fbf501a01d4e631fdc58f62bbec195658;hpb=a52836b23adb4bfa6722642ec6426fb7b5f39650;p=epclust.git

diff --git a/epclust/tests/testthat/test.computeMedoidsIndices.R b/epclust/tests/testthat/test.computeMedoidsIndices.R
deleted file mode 100644
index 8347fb6..0000000
--- a/epclust/tests/testthat/test.computeMedoidsIndices.R
+++ /dev/null
@@ -1,25 +0,0 @@
-context("computeMedoidsIndices")
-
-test_that("computeMedoidsIndices behave as expected",
-{
-	# Generate a gaussian mixture
-	n = 999
-	L = 7
-	medoids = cbind( rep(0,L), rep(-5,L), rep(5,L) )
-	# short series...
-	series = t( rbind( MASS::mvrnorm(n/3, medoids[,1], diag(L)),
-		MASS::mvrnorm(n/3, medoids[,2], diag(L)),
-		MASS::mvrnorm(n/3, medoids[,3], diag(L)) ) )
-
-	# With high probability, medoids indices should resemble 1,1,1,...,2,2,2,...,3,3,3,...
-	require("bigmemory", quietly=TRUE)
-	mi = epclust:::computeMedoidsIndices(bigmemory::as.big.matrix(medoids)@address, series)
-	mi_ref = rep(1:3, each=n/3)
-	expect_lt( mean(mi != mi_ref), 0.01 )
-
-	# Now with a random matrix, compare with (trusted) R version
-	series = matrix(runif(n*L, min=-7, max=7), nrow=L)
-	mi = epclust:::computeMedoidsIndices(bigmemory::as.big.matrix(medoids)@address, series)
-	mi_ref = R_computeMedoidsIndices(medoids, series)
-	expect_equal(mi, mi_ref)
-})