## conf.int = "no" ---- a <- Accuracy(obs_est = ObsEst, conf.int = "No") x <- utils::capture.output(print(a)) test_that("Accuracy() works as expected in example", { expect_s3_class(a, c("PowerSDI.accuracy", "list")) expect_length(a, 4) }) test_that("print.PowerSDI.accuracy() returns a proper summary w/ ci no", { expect_type(x, "character") expect_equal(x[[1]], " AME RMSE dorig dmod dref RQuad") expect_equal(x[[2]], " 2.470223 3.144231 0.9718557 0.8386579 0.838266 0.9197235") }) test_that("plot.PowerSDI.Accuracy works properly w/ ci no", { accuracy_a <- plot(a) vdiffr::expect_doppelganger("disp-accuracy-a-no", accuracy_a) }) rm(a) ## conf.int = "yes" ---- b <- Accuracy(obs_est = ObsEst, conf.int = "Yes") test_that("accuracy works w/ conf.int = 'Yes'", { expect_s3_class(b, c("PowerSDI.accuracy", "list")) expect_length(b, 4) }) test_that("plot.PowerSDI.Accuracy works properly w/ ci yes", { accuracy_b <- plot(b) vdiffr::expect_doppelganger("disp-accuracy-b-yes", accuracy_b) }) test_that("print.PowerSDI.accuracy() returns a proper summary w/ ci yes", { expect_type(b[[3]], "double") expect_equal(dimnames(b[[3]]), list( "", c( "AMECIinf", "AME", "AMECIsup", "RMSECIinf", "RMSE", "RMSECIsup", "dorig_CIinf", "dorig", "dorigCIsup", "dmodCIinf", "dmod", "dmodCIsup", "dref_CIinf", "dref", "dref_CIsup", "RQuad_CIinf", "RQuad", "RQuad_CIsup" ) )) expect_equal( b[[3]][1:9], c( 2.467015, 2.470223, 2.473082, 3.139687, 3.144231, 3.147687, 0.9717416, 0.9718557, 0.9719249 ), tolerance = 0.01 ) }) rm(b) test_that("accuracy fails w/ incorrect conf.int value", { expect_error(Accuracy(obs_est = ObsEst, conf.int = "POWER")) }) test_that("accuracy fails w/ conf.int value yes and incorrect sig.level", { expect_error(Accuracy( obs_est = ObsEst, conf.int = "Yes", sig.level = 0.96 )) }) test_that("accuracy fails w/ to short ObsEst values", { short_obs_est <- ObsEst[1:5, ] expect_error(Accuracy(obs_est = short_obs_est, conf.int = "No")) rm(short_obs_est) }) test_that("accuracy fails w/ `NA` in ObsEst values", { na_obs_est <- ObsEst[1:20, ] na_obs_est[5, 2] <- NA expect_error(Accuracy(obs_est = na_obs_est, conf.int = "No")) rm(na_obs_est) })