diff --git a/R/impute_randomforest.R b/R/impute_randomforest.R
index 8e8a24ca..72ce00b8 100644
--- a/R/impute_randomforest.R
+++ b/R/impute_randomforest.R
@@ -26,7 +26,7 @@
 #' ```
 #' To leverage parallelization during the imputation, pass `parallelize = "variables"`
 #' as an argument to the `missForest` function.
-#`
+# `
 #'
 #' Stekhoven, D.J., & Bühlmann, P. (2012). MissForest—non-parametric missing value imputation
 #' for mixed-type data. Bioinformatics, 28(1), 112-118. https://doi.org/10.1093/bioinformatics/btr597
diff --git a/tests/testthat/test-auxiliary_functions.R b/tests/testthat/test-auxiliary_functions.R
index 1a27c717..260d0fa2 100644
--- a/tests/testthat/test-auxiliary_functions.R
+++ b/tests/testthat/test-auxiliary_functions.R
@@ -29,11 +29,11 @@ if (Sys.getenv("TEST_PROTTI") == "true") {
     test_that("deprecated peptide_type works", {
       rlang::with_options(lifecycle_verbosity = "warning", {
         expect_warning(assigned_types <- data %>%
-                         find_peptide(
-                           protein_sequence = protein_sequence,
-                           peptide_sequence = peptide
-                         ) %>%
-                         peptide_type(aa_before = aa_before, last_aa = last_aa))
+          find_peptide(
+            protein_sequence = protein_sequence,
+            peptide_sequence = peptide
+          ) %>%
+          peptide_type(aa_before = aa_before, last_aa = last_aa))
       })
       expect_is(assigned_types, "data.frame")
       expect_equal(nrow(assigned_types), 3)