diff --git a/R/dimension_reduction.R b/R/dimension_reduction.R
index 37b2b539e..1fb050629 100644
--- a/R/dimension_reduction.R
+++ b/R/dimension_reduction.R
@@ -1672,7 +1672,8 @@ create_screeplot <- function(eigs, ncp = 20, ylim = c(0, 20)) {
 #' @param set_seed logical. whether to set a seed when random_subset is used
 #' @param seed_number seed number to use when random_subset is used
 #' @param verbose show progress of jackstraw method
-#' @returns ggplot object for jackstraw method
+#' @returns if `return_plot` = `TRUE`: ggplot object for jackstraw method
+#' if `return_plot` = `FALSE`: silently returns number of significant PCs
 #' @details
 #'  The Jackstraw method uses the \code{\link[jackstraw]{permutationPA}}
 #'  function. By systematically permuting genes it identifies robust, and thus
@@ -1799,6 +1800,11 @@ jackstrawPlot <- function(gobject,
              "\nnumber of estimated significant components: ",
              nr_sign_components)
 
+        warning(wrap_txt(
+            "Number of significant components equals `ncp`.
+            Increasing `ncp` may be needed."
+        ))
+
         final_results <- jtest[c("p", "cum_var_explained")]
         vmsg(.v = verbose, .is_debug = TRUE, final_results$p)
 
@@ -1819,7 +1825,7 @@ jackstrawPlot <- function(gobject,
         show_plot = show_plot,
         default_save_name = default_save_name,
         save_param = save_param,
-        else_return = NULL
+        else_return = nr_sign_components
     ))
 }
 
diff --git a/man/jackstrawPlot.Rd b/man/jackstrawPlot.Rd
index 1da89c037..1a4778a85 100644
--- a/man/jackstrawPlot.Rd
+++ b/man/jackstrawPlot.Rd
@@ -10,9 +10,9 @@ jackstrawPlot(
   feat_type = NULL,
   expression_values = c("normalized", "scaled", "custom"),
   reduction = c("cells", "feats"),
-  feats_to_use = NULL,
-  center = FALSE,
-  scale_unit = FALSE,
+  feats_to_use = "hvf",
+  center = TRUE,
+  scale_unit = TRUE,
   ncp = 20,
   ylim = c(0, 1),
   iter = 10,
@@ -75,7 +75,8 @@ speed up calculation}
 change save_name in save_param}
 }
 \value{
-ggplot object for jackstraw method
+if \code{return_plot} = \code{TRUE}: ggplot object for jackstraw method
+if \code{return_plot} = \code{FALSE}: silently returns number of significant PCs
 }
 \description{
 Identify significant principal components (PCs)