# Test variance_components() # reference names for tests var_nms <- c(".component", ".variance", ".std_dev", ".lower_ci", ".upper_ci") test_that("variance_comp works for a gam", { expect_silent(vc <- variance_comp(m_gam)) expect_s3_class(df, c("variance_comp", "tbl_df", "tbl", "data.frame")) expect_identical(ncol(vc), 5L) expect_identical(nrow(vc), 5L) expect_named(vc, expected = var_nms) # skip_on_ci() # testing without as moved to mac os x skip_on_cran() expect_snapshot(print(vc)) }) test_that("variance_comp works for a gam with rescaling", { expect_silent(vc <- variance_comp(m_gam, rescale = TRUE)) expect_s3_class(df, c("variance_comp", "tbl_df", "tbl", "data.frame")) expect_identical(ncol(vc), 5L) expect_identical(nrow(vc), 5L) expect_named(vc, expected = var_nms) # skip_on_ci() # testing without as moved to mac os x skip_on_cran() expect_snapshot(print(vc)) }) test_that("variance_comp works for a single term gam", { expect_silent(vc <- variance_comp(m_1_smooth)) expect_s3_class(df, c("variance_comp", "tbl_df", "tbl", "data.frame")) expect_identical(ncol(vc), 5L) expect_identical(nrow(vc), 2L) expect_named(vc, expected = var_nms) # skip_on_ci() # testing without as moved to mac os x skip_on_cran() expect_snapshot(print(vc)) }) test_that("variance_comp works for a continuous by gam", { expect_silent(vc <- variance_comp(su_m_cont_by)) expect_s3_class(df, c("variance_comp", "tbl_df", "tbl", "data.frame")) expect_identical(ncol(vc), 5L) expect_identical(nrow(vc), 2L) expect_named(vc, expected = var_nms) # skip_on_ci() # testing without as moved to mac os x skip_on_cran() expect_snapshot(print(vc)) }) test_that("variance_comp works for a factor by gam", { expect_silent(vc <- variance_comp(su_m_factor_by)) expect_s3_class(df, c("variance_comp", "tbl_df", "tbl", "data.frame")) expect_identical(ncol(vc), 5L) expect_identical(nrow(vc), 5L) expect_named(vc, expected = var_nms) # skip_on_ci() # testing without as moved to mac os x skip_on_cran() expect_snapshot(print(vc)) })