context("epclustFilter")

#TODO: find a better name
test_that("[time-]serie filtering behave as expected",
{
	# Currently just a mean of 3 values
	M = matrix(runif(1000,min=-7,max=7), ncol=10)
	ref_fM = stats::filter(M, c(1/3,1/3,1/3), circular=FALSE)
	fM = epclust:::.epclustFilter(M)

	#Expect an agreement on all inner values
	expect_equal(dim(fM), c(100,10))
	expect_equal(fM[2:99,], ref_fM[,2:99])

	#For border values, just apply a "by-hand" mean
	expect_equal(fM[1,], colMeans(rbind(M[1,],M[2,],M[100,])))
	expect_equal(fM[100,], colMeans(rbind(M[100,],M[99,],M[1,])))
}