diff --git a/tests/testthat/test-matrix_form.R b/tests/testthat/test-matrix_form.R
index b5c2965a..126dec7c 100644
--- a/tests/testthat/test-matrix_form.R
+++ b/tests/testthat/test-matrix_form.R
@@ -1,10 +1,12 @@
 test_that("matrix_form works with and without indentation", {
+  require("dplyr", quietly = TRUE)
+
   skip_if_not_installed("dplyr")
 
-  iris_output <- dplyr::summarize(dplyr::group_by(iris, Species),
-    "all obs" = round(mean(Petal.Length), 2)
-  )
-  iris_output <- dplyr::mutate(iris_output, "Petal.Length" = "Mean")
+  iris_output <- iris %>%
+    group_by(Species) %>%
+    summarize("all obs" = round(mean(Petal.Length), 2)) %>%
+    mutate("Petal.Length" = "Mean")
 
   mf <- basic_matrix_form(iris_output,
     indent_rownames = TRUE,
diff --git a/tests/testthat/test-print.R b/tests/testthat/test-print.R
index aa7064a8..56c15937 100644
--- a/tests/testthat/test-print.R
+++ b/tests/testthat/test-print.R
@@ -1,36 +1,33 @@
 test_that("toString works with and without indentation", {
+  require("dplyr", quietly = TRUE)
+
   skip_if_not_installed("dplyr")
 
   set.seed(1)
-  iris <-
-    dplyr::mutate(iris, my_cols = sample(c("A", "B", "C"), nrow(iris), replace = TRUE))
-  iris_output <-
-    dplyr::summarize(dplyr::group_by(iris, Species, my_cols),
-      "mean_petal_length" = round(mean(Petal.Length), 1), .groups = "drop"
-    )
-  iris_output_df <- as.data.frame(iris_output)
-  iris_output_df <- reshape(
-    iris_output_df,
-    timevar = "my_cols",
-    idvar = "Species",
-    direction = "wide",
-    v.names = "mean_petal_length"
-  )
-  # identical to tidyr::pivot_wider(names_from = my_cols, values_from = mean_petal_length) %>%
-  iris_output_df <- dplyr::rename(
-    iris_output_df,
-    A = `mean_petal_length.A`,
-    B = `mean_petal_length.B`,
-    C = `mean_petal_length.C`
-  )
-
-  iris_output_df <- dplyr::mutate(iris_output_df, "Petal.Length" = "Mean")
+  iris_output <- iris %>%
+    mutate(my_cols = sample(c("A", "B", "C"), nrow(iris), replace = TRUE)) %>%
+    group_by(Species, my_cols) %>%
+    summarize("mean_petal_length" = round(mean(Petal.Length), 1), .groups = "drop") %>%
+    as.data.frame() %>%
+    reshape(
+      timevar = "my_cols",
+      idvar = "Species",
+      direction = "wide",
+      v.names = "mean_petal_length"
+    ) %>%
+    # identical to tidyr::pivot_wider(names_from = my_cols, values_from = mean_petal_length) %>%
+    rename(
+      A = `mean_petal_length.A`,
+      B = `mean_petal_length.B`,
+      C = `mean_petal_length.C`
+    ) %>%
+    mutate("Petal.Length" = "Mean")
 
-  mf <- basic_matrix_form(iris_output_df,
+  mf <- basic_matrix_form(iris_output,
     indent_rownames = TRUE,
     split_labels = "Species", data_labels = "Petal.Length"
   )
-  mf_no_indent <- basic_matrix_form(iris_output_df,
+  mf_no_indent <- basic_matrix_form(iris_output,
     indent_rownames = FALSE,
     split_labels = "Species", data_labels = "Petal.Length"
   )