'update'

[epclust.git] / epclust / tests / testthat / test.computeMedoidsIndices.R

diff --git a/epclust/tests/testthat/test.computeMedoidsIndices.R b/epclust/tests/testthat/test.computeMedoidsIndices.R
deleted file mode 100644 (file)
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)
-})