diff --git a/Common/r_functionwhitelist.cpp b/Common/r_functionwhitelist.cpp
index 251e96ee0a..64fe9f2201 100644
--- a/Common/r_functionwhitelist.cpp
+++ b/Common/r_functionwhitelist.cpp
@@ -245,7 +245,17 @@ const std::set<std::string> R_FunctionWhiteList::functionWhiteList {
 	"pbirthday",
 	"ptukey",
 	"dwilcox",
-	"switch"
+	"switch",
+	"rowMean",			"rowMeanNaRm",
+	"rowSum",			"rowSumNaRm",		
+	"rowSD",			"rowSDNaRm",	
+	"rowVariance",		"rowVarianceNaRm",	
+	"rowCovariance",	
+	"rowCorrelation",
+	"rowMedian",		"rowMedianNaRm",	
+	"rowMin",			"rowMinNaRm",	
+	"rowMax",			"rowMaxNaRm"
+	
 #ifdef JASP_DEBUG
 	,"Sys.sleep", ".crashPlease", "stringi::stri_enc_mark", "stringi::stri_enc_toutf8", "Encoding"
 #endif
diff --git a/Engine/jaspBase b/Engine/jaspBase
index 7c8c5f6108..4f85804523 160000
--- a/Engine/jaspBase
+++ b/Engine/jaspBase
@@ -1 +1 @@
-Subproject commit 7c8c5f6108fa8bd749974d46e86b89b57f5f3e4c
+Subproject commit 4f858045232461d49c122a0beb828577ab1f7726
diff --git a/Resources/Help/other/computedcolumns.html b/Resources/Help/other/computedcolumns.html
index 5bba3d59a8..f8380552fb 100644
--- a/Resources/Help/other/computedcolumns.html
+++ b/Resources/Help/other/computedcolumns.html
@@ -46,9 +46,18 @@ <h1>Computed Columns</h1>
 				</li>
 			</ul>
 			There are of course many possibilities and you are only limited by the availability of (safe) functions in JASP. Should you miss something than don't hesitate to contact us so we may add it to the next version.
-	</p>
-
-	
+	</p>	
 </details>
 
+<details>
+	<summary><b>Rowwise operations</b></summary>
+	<p>
+		A special type of computed column creation only available in R is the rowwise operations of mean, variance etc.<br><br>
+		These functions are:<br>
+		<code>rowMean, rowSum, rowSD, rowVariance, rowCovariance, rowCorrelation, rowMedian, rowMin, rowMax</code><br>
+		They will probably return NA for when any of the column's rows contain one.
+		So there are also variants like <code>rowMeanNaRm</code> available that drop NA first.<br><br>
+		It can be used like: <code>rowMean(Column 1, Column 2, Column 3)</code>
+	</p>
+</details>