Merge branch 'fix_describe_posterior' of https://github.com/easystats…

…/bayestestR into fix_describe_posterior
easystats · Sep 30, 2023 · 4540746 · 4540746
2 parents b89b3d9 + b30243b
commit 4540746
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Showing 6 changed files with 13 additions and 12 deletions.
diff --git a/R/p_map.R b/R/p_map.R
@@ -49,9 +49,9 @@
 #' for (iteration in 1:250) {
 #'   x <- rnorm(1000, 1, 1)
 #'   result <- data.frame(
-#'     "Kernel" = p_map(x, method = "kernel"),
-#'     "KernSmooth" = p_map(x, method = "KernSmooth"),
-#'     "logspline" = p_map(x, method = "logspline")
+#'     "Kernel" = as.numeric(p_map(x, method = "kernel")),
+#'     "KernSmooth" = as.numeric(p_map(x, method = "KernSmooth")),
+#'     "logspline" = as.numeric(p_map(x, method = "logspline"))
 #'   )
 #'   data <- rbind(data, result)
 #' }

diff --git a/man/p_map.Rd b/man/p_map.Rd
diff --git a/tests/testthat/test-ci.R b/tests/testthat/test-ci.R
@@ -15,7 +15,7 @@ test_that("ci", {
   expect_equal(ci(distribution_normal(1000), ci = 0.90)$CI_low[1], -1.6361, tolerance = 0.02)
   expect_equal(nrow(ci(distribution_normal(1000), ci = c(0.80, 0.90, 0.95))), 3, tolerance = 0.01)
   expect_equal(ci(distribution_normal(1000), ci = 1)$CI_low[1], -3.29, tolerance = 0.02)
-  expect_equal(length(capture.output(print(ci(distribution_normal(1000), ci = c(.80, .90))))))
+  expect_length(capture.output(print(ci(distribution_normal(1000), ci = c(0.80, 0.90)))), 5)
 
   expect_equal(ci(c(2, 3, NA))$CI_low, 2.02, tolerance = 1e-2)
   expect_warning(ci(c(2, 3)))

diff --git a/tests/testthat/test-format.R b/tests/testthat/test-format.R
@@ -18,22 +18,22 @@ test_that("p_significance", {
   )
   expect_equal(
     format(map_estimate(x)),
-    data.frame(x = "0.13", stringsAsFactors = FALSE),
+    data.frame(MAP_Estimate = "0.13", stringsAsFactors = FALSE),
     ignore_attr = TRUE
   )
   expect_equal(
     format(p_direction(x)),
-    data.frame(x = "51.00%", stringsAsFactors = FALSE),
+    data.frame(Parameter = "Posterior", pd = "51.00%", stringsAsFactors = FALSE),
     ignore_attr = TRUE
   )
   expect_equal(
     format(p_map(x)),
-    data.frame(x = "0.973", stringsAsFactors = FALSE),
+    data.frame(Parameter = "Posterior", p_MAP = "0.973", stringsAsFactors = FALSE),
     ignore_attr = TRUE
   )
   expect_equal(
     format(p_significance(x)),
-    data.frame(x = "0.46", stringsAsFactors = FALSE),
+    data.frame(Parameter = "Posterior", ps = "0.46", stringsAsFactors = FALSE),
     ignore_attr = TRUE
   )
   expect_equal(

diff --git a/tests/testthat/test-p_significance.R b/tests/testthat/test-p_significance.R
@@ -6,7 +6,7 @@ test_that("p_significance", {
   expect_equal(as.numeric(ps), 0.816, tolerance = 0.1)
   expect_s3_class(ps, "p_significance")
   expect_s3_class(ps, "data.frame")
-  expect_identical(dim(ps), c(1L, 1L))
+  expect_identical(dim(ps), c(1L, 2L))
   expect_identical(
     capture.output(print(ps)),
     c(

diff --git a/tests/testthat/test-rope_range.R b/tests/testthat/test-rope_range.R
@@ -41,6 +41,7 @@ test_that("rope_range", {
 })
 
 test_that("rope_range (multivariate)", {
+  skip_if_not_or_load_if_installed("brms")
   model <- suppressWarnings(
     brms::brm(brms::bf(mvbind(mpg, disp) ~ wt + gear) + brms::set_rescor(TRUE), data = mtcars, iter = 300)
   )