diff --git a/R/mean_n.R b/R/mean_n.R
index 48db01f53..4b4f1a171 100644
--- a/R/mean_n.R
+++ b/R/mean_n.R
@@ -14,6 +14,7 @@
 #' If a row's sum of valid values is less than `n`, `NA` will be returned.
 #' @param digits Numeric value indicating the number of decimal places to be
 #' used for rounding mean values. Negative values are allowed (see 'Details').
+#' By default, `digits = NULL` and no rounding is used.
 #' @param verbose Toggle warnings.
 #'
 #' @return A vector with row means for those rows with at least `n` valid values.
@@ -54,7 +55,7 @@
 #' mean_n(dat, 0.75) # 2 valid return values
 #'
 #' @export
-mean_n <- function(data, n, digits = 2, verbose = TRUE) {
+mean_n <- function(data, n, digits = NULL, verbose = TRUE) {
   # check if data is data frame or matrix
   if (!is.data.frame(data) && !is.matrix(data)) {
     insight::format_error("`data` must be a data frame or matrix.")
@@ -65,6 +66,11 @@ mean_n <- function(data, n, digits = 2, verbose = TRUE) {
     data <- as.data.frame(data)
   }
 
+  # n must be a numeric, non-missing value
+  if (is.null(n) || all(is.na(n)) || !is.numeric(n) || length(n) > 1) {
+    insight::format_error("`n` must be a numeric value of length 1.")
+  }
+
   # make sure we only have numeric values
   numeric_columns <- vapply(data, is.numeric, TRUE)
   if (!all(numeric_columns)) {
@@ -79,11 +85,6 @@ mean_n <- function(data, n, digits = 2, verbose = TRUE) {
     insight::format_error("`data` must be a data frame with at least two columns.")
   }
 
-  # n must be a numeric, non-missing value
-  if (is.null(n) || all(is.na(n)) || !is.numeric(n) || length(n) > 1) {
-    insight::format_error("`n` must be a numeric value of length 1.")
-  }
-
   # is 'n' indicating a proportion?
   decimals <- n %% 1
   if (decimals != 0) {
@@ -95,5 +96,12 @@ mean_n <- function(data, n, digits = 2, verbose = TRUE) {
     insight::format_error("`n` must be smaller or equal to number of columns in data frame.")
   }
 
-  round(apply(data, 1, function(x) ifelse(sum(!is.na(x)) >= n, mean(x, na.rm = TRUE), NA)), digits)
+  # row means
+  out <- apply(data, 1, function(x) ifelse(sum(!is.na(x)) >= n, mean(x, na.rm = TRUE), NA))
+
+  # round, if requested
+  if (!is.null(digits) && !all(is.na(digits))) {
+    out <- round(out, digits = digits)
+  }
+  out
 }
diff --git a/man/mean_n.Rd b/man/mean_n.Rd
index 24439e1f7..f2a04725a 100644
--- a/man/mean_n.Rd
+++ b/man/mean_n.Rd
@@ -4,7 +4,7 @@
 \alias{mean_n}
 \title{Row means with minimum amount of valid values}
 \usage{
-mean_n(data, n, digits = 2, verbose = TRUE)
+mean_n(data, n, digits = NULL, verbose = TRUE)
 }
 \arguments{
 \item{data}{A data frame with at least two columns, where row means are applied.}
@@ -20,7 +20,8 @@ row to calculate the row mean (see 'Details').
 If a row's sum of valid values is less than \code{n}, \code{NA} will be returned.}
 
 \item{digits}{Numeric value indicating the number of decimal places to be
-used for rounding mean values. Negative values are allowed (see 'Details').}
+used for rounding mean values. Negative values are allowed (see 'Details').
+By default, \code{digits = NULL} and no rounding is used.}
 
 \item{verbose}{Toggle warnings.}
 }
diff --git a/tests/testthat/test-mean_n.R b/tests/testthat/test-mean_n.R
index e90d66b4c..08dc80b4a 100644
--- a/tests/testthat/test-mean_n.R
+++ b/tests/testthat/test-mean_n.R
@@ -6,11 +6,12 @@ test_that("mean_n", {
     c4 = c(2, 3, 7, 8)
   )
   expect_equal(mean_n(d_mn, 4), c(NA, 2.75, NA, NA), tolerance = 1e-3)
-  expect_equal(mean_n(d_mn, 3), c(NA, 2.75, NA, 5.67), tolerance = 1e-3)
-  expect_equal(mean_n(d_mn, 2), c(1.5, 2.75, NA, 5.67), tolerance = 1e-3)
-  expect_equal(mean_n(d_mn, 1), c(1.5, 2.75, 7, 5.67), tolerance = 1e-3)
-  expect_equal(mean_n(d_mn, 0.5), c(1.5, 2.75, NA, 5.67), tolerance = 1e-3)
-  expect_equal(mean_n(d_mn, 0.75), c(NA, 2.75, NA, 5.67), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 3), c(NA, 2.75, NA, 5.66667), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 2), c(1.5, 2.75, NA, 5.66667), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 1), c(1.5, 2.75, 7, 5.66667), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 0.5), c(1.5, 2.75, NA, 5.66667), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 0.75), c(NA, 2.75, NA, 5.66667), tolerance = 1e-3)
+  expect_equal(mean_n(d_mn, 2, digits = 1), c(1.5, 2.8, NA, 5.7), tolerance = 1e-1)
 })
 
 test_that("mean_n, errors or messages", {