diff --git a/R/ggcoef_model.R b/R/ggcoef_model.R
index baf1484..a7e25da 100644
--- a/R/ggcoef_model.R
+++ b/R/ggcoef_model.R
@@ -27,51 +27,11 @@
 #' @param ... parameters passed to [ggcoef_plot()]
 #' @return A `ggplot2` plot or a `tibble` if `return_data = TRUE`.
 #' @export
-#' @examplesIf requireNamespace("reshape")
-#' \donttest{
-#' data(tips, package = "reshape")
-#' mod_simple <- lm(tip ~ day + time + total_bill, data = tips)
-#' ggcoef_model(mod_simple)
-#'
-#' # custom variable labels
-#' # you can use the labelled package to define variable labels
-#' # before computing model
-#' if (requireNamespace("labelled")) {
-#'   tips_labelled <- tips %>%
-#'     labelled::set_variable_labels(
-#'       day = "Day of the week",
-#'       time = "Lunch or Dinner",
-#'       total_bill = "Bill's total"
-#'     )
-#'   mod_labelled <- lm(tip ~ day + time + total_bill, data = tips_labelled)
-#'   ggcoef_model(mod_labelled)
-#' }
-#'
-#' # you can provide custom variable labels with 'variable_labels'
-#' ggcoef_model(
-#'   mod_simple,
-#'   variable_labels = c(
-#'     day = "Week day",
-#'     time = "Time (lunch or dinner ?)",
-#'     total_bill = "Total of the bill"
-#'   )
-#' )
-#' # if labels are too long, you can use 'facet_labeller' to wrap them
-#' ggcoef_model(
-#'   mod_simple,
-#'   variable_labels = c(
-#'     day = "Week day",
-#'     time = "Time (lunch or dinner ?)",
-#'     total_bill = "Total of the bill"
-#'   ),
-#'   facet_labeller = ggplot2::label_wrap_gen(10)
-#' )
-#'
-#' # do not display variable facets but add colour guide
-#' ggcoef_model(mod_simple, facet_row = NULL, colour_guide = TRUE)
-#' }
-#'
 #' @examples
+#' mod <- lm(Sepal.Length ~ Sepal.Width + Species, data = iris)
+#' ggcoef_model(mod)
+#'
+#' \donttest{
 #' # a logistic regression example
 #' d_titanic <- as.data.frame(Titanic)
 #' d_titanic$Survived <- factor(d_titanic$Survived, c("No", "Yes"))
@@ -85,7 +45,6 @@
 #' # use 'exponentiate = TRUE' to get the Odds Ratio
 #' ggcoef_model(mod_titanic, exponentiate = TRUE)
 #'
-#' \donttest{
 #' # display intercepts
 #' ggcoef_model(mod_titanic, exponentiate = TRUE, intercept = TRUE)
 #'
@@ -141,6 +100,50 @@
 #'   ggcoef_model(mod2)
 #' }
 #' }
+#' @examplesIf requireNamespace("reshape")
+#'
+#' \donttest{
+#' data(tips, package = "reshape")
+#' mod_simple <- lm(tip ~ day + time + total_bill, data = tips)
+#' ggcoef_model(mod_simple)
+#'
+#' # custom variable labels
+#' # you can use the labelled package to define variable labels
+#' # before computing model
+#' if (requireNamespace("labelled")) {
+#'   tips_labelled <- tips %>%
+#'     labelled::set_variable_labels(
+#'       day = "Day of the week",
+#'       time = "Lunch or Dinner",
+#'       total_bill = "Bill's total"
+#'     )
+#'   mod_labelled <- lm(tip ~ day + time + total_bill, data = tips_labelled)
+#'   ggcoef_model(mod_labelled)
+#' }
+#'
+#' # you can provide custom variable labels with 'variable_labels'
+#' ggcoef_model(
+#'   mod_simple,
+#'   variable_labels = c(
+#'     day = "Week day",
+#'     time = "Time (lunch or dinner ?)",
+#'     total_bill = "Total of the bill"
+#'   )
+#' )
+#' # if labels are too long, you can use 'facet_labeller' to wrap them
+#' ggcoef_model(
+#'   mod_simple,
+#'   variable_labels = c(
+#'     day = "Week day",
+#'     time = "Time (lunch or dinner ?)",
+#'     total_bill = "Total of the bill"
+#'   ),
+#'   facet_labeller = ggplot2::label_wrap_gen(10)
+#' )
+#'
+#' # do not display variable facets but add colour guide
+#' ggcoef_model(mod_simple, facet_row = NULL, colour_guide = TRUE)
+#' }
 ggcoef_model <- function(
   model,
   tidy_fun = broom.helpers::tidy_with_broom_or_parameters,
diff --git a/man/ggcoef_model.Rd b/man/ggcoef_model.Rd
index d113cfd..b9f1d71 100644
--- a/man/ggcoef_model.Rd
+++ b/man/ggcoef_model.Rd
@@ -255,50 +255,10 @@ multinomial logistic regressions performed with \code{\link[nnet:multinom]{nnet:
 
 }}
 \examples{
-\dontshow{if (requireNamespace("reshape")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
-\donttest{
-data(tips, package = "reshape")
-mod_simple <- lm(tip ~ day + time + total_bill, data = tips)
-ggcoef_model(mod_simple)
+mod <- lm(Sepal.Length ~ Sepal.Width + Species, data = iris)
+ggcoef_model(mod)
 
-# custom variable labels
-# you can use the labelled package to define variable labels
-# before computing model
-if (requireNamespace("labelled")) {
-  tips_labelled <- tips \%>\%
-    labelled::set_variable_labels(
-      day = "Day of the week",
-      time = "Lunch or Dinner",
-      total_bill = "Bill's total"
-    )
-  mod_labelled <- lm(tip ~ day + time + total_bill, data = tips_labelled)
-  ggcoef_model(mod_labelled)
-}
-
-# you can provide custom variable labels with 'variable_labels'
-ggcoef_model(
-  mod_simple,
-  variable_labels = c(
-    day = "Week day",
-    time = "Time (lunch or dinner ?)",
-    total_bill = "Total of the bill"
-  )
-)
-# if labels are too long, you can use 'facet_labeller' to wrap them
-ggcoef_model(
-  mod_simple,
-  variable_labels = c(
-    day = "Week day",
-    time = "Time (lunch or dinner ?)",
-    total_bill = "Total of the bill"
-  ),
-  facet_labeller = ggplot2::label_wrap_gen(10)
-)
-
-# do not display variable facets but add colour guide
-ggcoef_model(mod_simple, facet_row = NULL, colour_guide = TRUE)
-}
-\dontshow{\}) # examplesIf}
+\donttest{
 # a logistic regression example
 d_titanic <- as.data.frame(Titanic)
 d_titanic$Survived <- factor(d_titanic$Survived, c("No", "Yes"))
@@ -312,7 +272,6 @@ mod_titanic <- glm(
 # use 'exponentiate = TRUE' to get the Odds Ratio
 ggcoef_model(mod_titanic, exponentiate = TRUE)
 
-\donttest{
 # display intercepts
 ggcoef_model(mod_titanic, exponentiate = TRUE, intercept = TRUE)
 
@@ -368,6 +327,51 @@ if (requireNamespace("emmeans")) {
   ggcoef_model(mod2)
 }
 }
+\dontshow{if (requireNamespace("reshape")) (if (getRversion() >= "3.4") withAutoprint else force)(\{ # examplesIf}
+
+\donttest{
+data(tips, package = "reshape")
+mod_simple <- lm(tip ~ day + time + total_bill, data = tips)
+ggcoef_model(mod_simple)
+
+# custom variable labels
+# you can use the labelled package to define variable labels
+# before computing model
+if (requireNamespace("labelled")) {
+  tips_labelled <- tips \%>\%
+    labelled::set_variable_labels(
+      day = "Day of the week",
+      time = "Lunch or Dinner",
+      total_bill = "Bill's total"
+    )
+  mod_labelled <- lm(tip ~ day + time + total_bill, data = tips_labelled)
+  ggcoef_model(mod_labelled)
+}
+
+# you can provide custom variable labels with 'variable_labels'
+ggcoef_model(
+  mod_simple,
+  variable_labels = c(
+    day = "Week day",
+    time = "Time (lunch or dinner ?)",
+    total_bill = "Total of the bill"
+  )
+)
+# if labels are too long, you can use 'facet_labeller' to wrap them
+ggcoef_model(
+  mod_simple,
+  variable_labels = c(
+    day = "Week day",
+    time = "Time (lunch or dinner ?)",
+    total_bill = "Total of the bill"
+  ),
+  facet_labeller = ggplot2::label_wrap_gen(10)
+)
+
+# do not display variable facets but add colour guide
+ggcoef_model(mod_simple, facet_row = NULL, colour_guide = TRUE)
+}
+\dontshow{\}) # examplesIf}
 
 \donttest{
 # Use ggcoef_compare() for comparing several models on the same plot