Add test coverage for ppc_data, ppd_data, ppc_ribbon_data, ppd_ribbon

NEWS.md

@@ -1,5 +1,6 @@
 # bayesplot (development version)
 
+* Added direct test coverage for exported `_data()` functions: `ppc_data()`, `ppd_data()`, `ppc_ribbon_data()`, and `ppd_ribbon_data()`.
 * Eliminate redundant data processing in `mcmc_areas_data()` by reusing the prepared MCMC array for both interval and density computation.
 * Validate equal chain lengths in `validate_df_with_chain()`, reject missing
   chain labels, and renumber data-frame chain labels internally when converting

tests/testthat/test-ppc-distributions.R

@@ -422,3 +422,54 @@ test_that("ppc_pit_ecdf, ppc_pit_ecdf_grouped renders correctly", {
   vdiffr::expect_doppelganger("ppc_pit_ecdf (diff)", p_diff)
   vdiffr::expect_doppelganger("ppc_pit_ecdf_grouped (diff)", g_diff)
 })
+
+
+# ppc_data / ppd_data tests -----------------------------------------------
+
+test_that("ppc_data returns correct structure", {
+  d <- ppc_data(y, yrep)
+  expect_s3_class(d, "data.frame")
+  expect_true(all(c("y_id", "rep_id", "rep_label", "is_y", "value") %in% names(d)))
+})
+
+test_that("ppc_data includes y and yrep rows", {
+  d <- ppc_data(y, yrep)
+  y_rows <- d[d$is_y, ]
+  yrep_rows <- d[!d$is_y, ]
+  expect_equal(nrow(y_rows), length(y))
+  expect_equal(nrow(yrep_rows), length(y) * nrow(yrep))
+  expect_equal(y_rows$value, y)
+})
+
+test_that("ppc_data with group adds group column", {
+  d <- ppc_data(y, yrep, group = group)
+  expect_true("group" %in% names(d))
+  expect_equal(nlevels(factor(d$group)), nlevels(group))
+})
+
+test_that("ppc_data works with single replicate", {
+  d <- ppc_data(y, yrep[1, , drop = FALSE])
+  yrep_rows <- d[!d$is_y, ]
+  expect_equal(nrow(yrep_rows), length(y))
+})
+
+test_that("ppd_data returns correct structure", {
+  d <- ppd_data(yrep)
+  expect_s3_class(d, "data.frame")
+  expect_true(all(c("y_id", "rep_id", "rep_label", "value") %in% names(d)))
+})
+
+test_that("ppd_data returns correct number of rows", {
+  d <- ppd_data(yrep)
+  expect_equal(nrow(d), nrow(yrep) * ncol(yrep))
+})
+
+test_that("ppd_data with group adds group column", {
+  d <- ppd_data(yrep, group = group)
+  expect_true("group" %in% names(d))
+})
+
+test_that("ppd_data works with single replicate", {
+  d <- ppd_data(yrep[1, , drop = FALSE])
+  expect_equal(nrow(d), ncol(yrep))
+})

tests/testthat/test-ppc-intervals.R

@@ -224,3 +224,23 @@ test_that("ppc_ribbon_grouped renders correctly", {
     group = vdiff_group)
   vdiffr::expect_doppelganger("ppd_ribbon_grouped (x values)", p_x)
 })
+
+
+# ppc_ribbon_data / ppd_ribbon_data alias tests ----------------------------
+
+test_that("ppc_ribbon_data is identical to ppc_intervals_data", {
+  expect_identical(ppc_ribbon_data, ppc_intervals_data)
+  y_test <- rnorm(20)
+  yrep_test <- matrix(rnorm(200), ncol = 20)
+  d1 <- ppc_intervals_data(y_test, yrep_test, prob = 0.5, prob_outer = 0.9)
+  d2 <- ppc_ribbon_data(y_test, yrep_test, prob = 0.5, prob_outer = 0.9)
+  expect_identical(d1, d2)
+})
+
+test_that("ppd_ribbon_data is identical to ppd_intervals_data", {
+  expect_identical(ppd_ribbon_data, ppd_intervals_data)
+  yrep_test <- matrix(rnorm(200), ncol = 20)
+  d1 <- ppd_intervals_data(yrep_test, prob = 0.5, prob_outer = 0.9)
+  d2 <- ppd_ribbon_data(yrep_test, prob = 0.5, prob_outer = 0.9)
+  expect_identical(d1, d2)
+})