diff --git a/R/get-pit-histogram.R b/R/get-pit-histogram.R
index b1a75fd9..c2a24a3f 100644
--- a/R/get-pit-histogram.R
+++ b/R/get-pit-histogram.R
@@ -28,16 +28,14 @@
 #' @examples
 #' library("ggplot2")
 #'
-#' example <- as_forecast_sample(example_sample_continuous)
-#' result <- get_pit_histogram(example, by = "model")
+#' result <- get_pit_histogram(example_sample_continuous, by = "model")
 #' ggplot(result,  aes(x = mid, y = density)) +
 #'   geom_col() +
 #'   facet_wrap(. ~ model) +
 #'   labs(x = "Quantile", "Density")
 #'
 #' # example with quantile data
-#' example <- as_forecast_quantile(example_quantile)
-#' result <- get_pit_histogram(example, by = "model")
+#' result <- get_pit_histogram(example_quantile, by = "model")
 #' ggplot(result,  aes(x = mid, y = density)) +
 #'   geom_col() +
 #'   facet_wrap(. ~ model) +
diff --git a/man/get_pit_histogram.Rd b/man/get_pit_histogram.Rd
index cb4273f2..d65ed4d4 100644
--- a/man/get_pit_histogram.Rd
+++ b/man/get_pit_histogram.Rd
@@ -74,16 +74,14 @@ See the examples for how to plot the result of this function.
 \examples{
 library("ggplot2")
 
-example <- as_forecast_sample(example_sample_continuous)
-result <- get_pit_histogram(example, by = "model")
+result <- get_pit_histogram(example_sample_continuous, by = "model")
 ggplot(result,  aes(x = mid, y = density)) +
   geom_col() +
   facet_wrap(. ~ model) +
   labs(x = "Quantile", "Density")
 
 # example with quantile data
-example <- as_forecast_quantile(example_quantile)
-result <- get_pit_histogram(example, by = "model")
+result <- get_pit_histogram(example_quantile, by = "model")
 ggplot(result,  aes(x = mid, y = density)) +
   geom_col() +
   facet_wrap(. ~ model) +