diff --git a/R/to_labelled.R b/R/to_labelled.R
index 702386b..fd6c921 100644
--- a/R/to_labelled.R
+++ b/R/to_labelled.R
@@ -206,8 +206,8 @@ memisc_to_labelled <- function(x) {
 #'   codes
 #' @details
 #' If you convert a labelled vector into a factor with prefix, i.e. by using
-#' [`to_factor(levels = "prefixed")`[to_factor()], `to_labelled.factor()` is able
-#' to reconvert it to a labelled vector with same values and labels.
+#' [`to_factor(levels = "prefixed")`][to_factor()], `to_labelled.factor()` is
+#' able to reconvert it to a labelled vector with same values and labels.
 #' @export
 #' @examples
 #' # Converting factors to labelled vectors
diff --git a/man/to_labelled.Rd b/man/to_labelled.Rd
index c9177e3..fbc8f8e 100644
--- a/man/to_labelled.Rd
+++ b/man/to_labelled.Rd
@@ -70,8 +70,8 @@ So far, missing values defined in \strong{Stata} are always imported as \code{NA
 \code{\link[foreign:read.dta]{foreign::read.dta()}} and could not be retrieved by \code{foreign_to_labelled()}.
 
 If you convert a labelled vector into a factor with prefix, i.e. by using
-[\code{to_factor(levels = "prefixed")}\code{\link[=to_factor]{to_factor()}}, \code{to_labelled.factor()} is able
-to reconvert it to a labelled vector with same values and labels.
+\code{\link[=to_factor]{to_factor(levels = "prefixed")}}, \code{to_labelled.factor()} is
+able to reconvert it to a labelled vector with same values and labels.
 }
 \examples{
 \dontrun{