diff --git a/mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala b/mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
index a2c8fb3bf2b3c..b8e869b6cc30e 100644
--- a/mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
+++ b/mllib/src/main/scala/org/apache/spark/mllib/linalg/distributed/RowMatrix.scala
@@ -136,21 +136,19 @@ private class ColumnStatisticsAggregator(private val n: Int)
 
     var i = 0
     while (i < n) {
-      // merge mean together
-      if (other.currMean(i) != 0.0) {
+      if (nnz(i) + other.nnz(i) != 0.0) {
+        // merge mean together
         currMean(i) = (currMean(i) * nnz(i) + other.currMean(i) * other.nnz(i)) /
           (nnz(i) + other.nnz(i))
-      }
-      // merge m2n together
-      if (nnz(i) + other.nnz(i) != 0.0) {
+        // merge m2n together
         currM2n(i) += other.currM2n(i) + deltaMean(i) * deltaMean(i) * nnz(i) * other.nnz(i) /
           (nnz(i) + other.nnz(i))
-      }
-      if (currMax(i) < other.currMax(i)) {
-        currMax(i) = other.currMax(i)
-      }
-      if (currMin(i) > other.currMin(i)) {
-        currMin(i) = other.currMin(i)
+        if (currMax(i) < other.currMax(i)) {
+          currMax(i) = other.currMax(i)
+        }
+        if (currMin(i) > other.currMin(i)) {
+          currMin(i) = other.currMin(i)
+        }
       }
       i += 1
     }