[epclust.git] / epclust / tests / testthat / test-assignMedoids.R

context("assignMedoids")

test_that("assignMedoids behave as expected",
{
	# Generate a gaussian mixture
	n <- 999
	L <- 7
	medoids <- cbind( rep(0,L), rep(-5,L), rep(5,L) )
	# short series...
	require("MASS", quietly=TRUE)
	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,...
	mi <- assignMedoids(series, medoids)
	mi_ref <- rep(1:3, each=n/3)
	expect_lt( mean(mi != mi_ref), 0.01 )
})
Commit	Line	Data
	1	context("assignMedoids")
	2
	3	test_that("assignMedoids behave as expected",
	4	{
	5	# Generate a gaussian mixture
	6	n <- 999
	7	L <- 7
	8	medoids <- cbind( rep(0,L), rep(-5,L), rep(5,L) )
	9	# short series...
	10	require("MASS", quietly=TRUE)
	11	series <- t( rbind( MASS::mvrnorm(n/3, medoids[,1], diag(L)),
	12	MASS::mvrnorm(n/3, medoids[,2], diag(L)),
	13	MASS::mvrnorm(n/3, medoids[,3], diag(L)) ) )
	14
	15	# With high probability, medoids indices should resemble 1,1,1,...,2,2,2,...,3,3,3,...
	16	mi <- assignMedoids(series, medoids)
	17	mi_ref <- rep(1:3, each=n/3)
	18	expect_lt( mean(mi != mi_ref), 0.01 )
	19	})