diff --git a/R/check_heterogeneity_bias.R b/R/check_heterogeneity_bias.R
index 27f604fd9..755f47dfa 100644
--- a/R/check_heterogeneity_bias.R
+++ b/R/check_heterogeneity_bias.R
@@ -39,7 +39,7 @@
 #'   Modeling of Time-Series Cross-Sectional and Panel Data. Political Science
 #'   Research and Methods, 3(1), 133–153.
 #'
-#' @examplesIf
+#' @examples
 #' data(iris)
 #' iris$ID <- sample(1:4, nrow(iris), replace = TRUE) # fake-ID
 #' check_heterogeneity_bias(iris, select = c("Sepal.Length", "Petal.Length"), by = "ID")
diff --git a/man/check_heterogeneity_bias.Rd b/man/check_heterogeneity_bias.Rd
index 2f28a25a5..40b2b66ca 100644
--- a/man/check_heterogeneity_bias.Rd
+++ b/man/check_heterogeneity_bias.Rd
@@ -50,11 +50,9 @@ cause a heterogeneity bias, i.e. if variables have a within- and/or
 between-effect (\emph{Bell and Jones, 2015}).
 }
 \examples{
-\dontshow{if () (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
 data(iris)
 iris$ID <- sample(1:4, nrow(iris), replace = TRUE) # fake-ID
 check_heterogeneity_bias(iris, select = c("Sepal.Length", "Petal.Length"), by = "ID")
-\dontshow{\}) # examplesIf}
 }
 \references{
 \itemize{