diff --git a/lib/node_modules/@stdlib/stats/strided/dnanvarianceyc/lib/ndarray.js b/lib/node_modules/@stdlib/stats/strided/dnanvarianceyc/lib/ndarray.js
index 61f515aeb9a9..29fe04608a40 100644
--- a/lib/node_modules/@stdlib/stats/strided/dnanvarianceyc/lib/ndarray.js
+++ b/lib/node_modules/@stdlib/stats/strided/dnanvarianceyc/lib/ndarray.js
@@ -47,58 +47,58 @@
 * // returns 6.25
 */
 function dnanvarianceyc( N, correction, x, strideX, offsetX ) {
-	var sum;
-	var ix;
-	var nc;
-	var S;
-	var v;
-	var d;
-	var n;
-	var i;
+    var sum;
+    var ix;
+    var nc;
+    var S;
+    var v;
+    var d;
+    var n;
+    var i;
 
-	if ( N <= 0 ) {
-		return NaN;
-	}
-	if ( N === 1 || strideX === 0 ) {
-		v = x[ offsetX ];
-		if ( v === v && N-correction > 0.0 ) {
-			return 0.0;
-		}
-		return NaN;
-	}
-	ix = offsetX;
+    if ( N <= 0 ) {
+        return NaN;
+    }
+    if ( N === 1 || strideX === 0 ) {
+        v = x[ offsetX ];
+        if ( v === v && N-correction > 0.0 ) {
+            return 0.0;
+        }
+        return NaN;
+    }
+    ix = offsetX;
 
-	// Find the first non-NaN element...
-	for ( i = 0; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			break;
-		}
-		ix += strideX;
-	}
-	if ( i === N ) {
-		return NaN;
-	}
-	ix += strideX;
-	sum = v;
-	S = 0.0;
-	i += 1;
-	n = 1;
-	for ( i; i < N; i++ ) {
-		v = x[ ix ];
-		if ( v === v ) {
-			n += 1;
-			sum += v;
-			d = (n*v) - sum;
-			S += (1.0/(n*(n-1))) * d * d;
-		}
-		ix += strideX;
-	}
-	nc = n - correction;
-	if ( nc <= 0.0 ) {
-		return NaN;
-	}
-	return S / nc;
+    // Find the first non-NaN element...
+    for ( i = 0; i < N; i++ ) {
+        v = x[ ix ];
+        if ( v === v ) {
+            break;
+        }
+        ix += strideX;
+    }
+    if ( i === N ) {
+        return NaN;
+    }
+    ix += strideX;
+    sum = v;
+    S = 0.0;
+    i += 1;
+    n = 1;
+    for ( i; i < N; i++ ) {
+        v = x[ ix ];
+        if ( v === v ) {
+            n += 1;
+            sum += v;
+            d = (n*v) - sum;
+            S += (1.0/(n*(n-1))) * d * d;
+        }
+        ix += strideX;
+    }
+    nc = n - correction;
+    if ( nc <= 0.0 ) {
+        return NaN;
+    }
+    return S / nc;
 }