save state; test clustering not OK, all others OK
[epclust.git] / epclust / tests / testthat / test.computeMedoidsIndices.R
index efd6af9..8347fb6 100644 (file)
@@ -8,17 +8,18 @@ test_that("computeMedoidsIndices behave as expected",
        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))) ) )
+               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,...
-       mi = epclust:::.computeMedoidsIndices(medoids, series)
+       require("bigmemory", quietly=TRUE)
+       mi = epclust:::computeMedoidsIndices(bigmemory::as.big.matrix(medoids)@address, series)
        mi_ref = rep(1:3, each=n/3)
-       expect_that( mean(mi != mi_ref) < 0.01 )
+       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(medoids, series)
+       mi = epclust:::computeMedoidsIndices(bigmemory::as.big.matrix(medoids)@address, series)
        mi_ref = R_computeMedoidsIndices(medoids, series)
        expect_equal(mi, mi_ref)
 })