# ================================================================================================= # setup # ================================================================================================= ## Original objects in env ols <- ls() # ================================================================================================= # centroids # ================================================================================================= with(persistent, { test_that("Centroids calculated with families give the same results as references.", { skip_on_cran() local_edition(2) expect_known_value(cent_mean, file_name(cent_mean), info = "Univariate") expect_known_value(cent_mv_mean, file_name(cent_mv_mean), info = "Multivariate") expect_known_value(cent_median, file_name(cent_median), info = "Univariate") expect_known_value(cent_mv_median, file_name(cent_mv_median), info = "Multivariate") expect_known_value(cent_shape, file_name(cent_shape), info = "Univariate") expect_known_value(cent_mv_shape, file_name(cent_mv_shape), info = "Multivariate") expect_known_value(cent_pam, file_name(cent_pam), info = "Univariate without distmat") expect_known_value(cent_mv_pam, file_name(cent_mv_pam), info = "Multivariate") tol <- if (.Machine$sizeof.pointer == 4L) 1e-2 else sqrt(.Machine$double.eps) expect_known_value(cent_dba, file_name(cent_dba, x32 = TRUE), tolerance = tol, info = "Univariate") expect_known_value(cent_mv_dba, file_name(cent_mv_dba, x32 = TRUE), tolerance = tol, info = "Multivariate") expect_known_value(cent_mv_dba_bys, file_name(cent_mv_dba_bys), info = "DBA by series") }) test_that("Centroids calculated with SDTWC families give the same results as references.", { skip_on_cran() skip_if(tolower(Sys.info()[["sysname"]]) == "windows" & isTRUE(as.logical(Sys.getenv("CI"))), "On Windows CI") local_edition(2) expect_known_value(cent_sdtwc, file_name(cent_sdtwc), tolerance = 1e-6, info = "SDTWC Univariate") expect_known_value(cent_mv_sdtwc, file_name(cent_mv_sdtwc), info = "SDTWC Multivariate") }) }) # ================================================================================================= # clean # ================================================================================================= rm(list = setdiff(ls(), ols))