fix ESLint issue

Author: gkbishnoi07

lib/node_modules/@stdlib/stats/base/variancewd/README.md

@@ -233,7 +233,6 @@ console.log( v );
 ## See Also
 
 -   <span class="package-name">[`@stdlib/stats/base/dvariancewd`][@stdlib/stats/base/dvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array using Welford's algorithm.</span>
--   <span class="package-name">[`@stdlib/stats/base/nanvariancewd`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring NaN values and using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/stdevwd`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/variance`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
 

lib/node_modules/@stdlib/stats/base/variancewd/lib/accessors.js

@@ -24,33 +24,29 @@
 * @private
 * @param {PositiveInteger} N - number of indexed elements
 * @param {number} correction - degrees of freedom adjustment
-* @param {Object} x - input array-like object supporting the accessor protocol
+* @param {Object} x - input array object
 * @param {Collection} x.data - input array data
 * @param {Array<Function>} x.accessors - array element accessors
 * @param {integer} strideX - stride length
 * @param {NonNegativeInteger} offsetX - starting index
 * @returns {number} variance
 *
 * @example
-* function accessor( arr, idx ) {
-*     return arr.get( idx );
-* }
-*
 * var x = {
-*     data: [ 2.0, 4.0, 6.0, 8.0, 10.0 ],
-*     get: function( i ) { return this.data[ i ]; }
+*     data: [ 2.0, 4.0, 6.0, 8.0 ],
+*     accessors: [ function get(arr, idx) { return arr[idx]; } ]
 * };
-*
-* var v = variancewd( 5, 1, x, 1, 0 );
+* var v = variancewd( x.data.length, 1, x, 1, 0 );
 * // returns 10.0
 */
+
 function variancewd(N, correction, x, strideX, offsetX) {
-	var delta2;
 	var xbuf;
+	var delta2;
 	var delta;
+	var get;
 	var mu;
 	var M2;
-	var get;
 	var ix;
 	var v;
 	var n;

lib/node_modules/@stdlib/stats/base/variancewd/lib/ndarray.js

@@ -101,23 +101,23 @@ function variancewd(N, correction, x, strideX, offsetX) {
 		return NaN;
 	}
 
-    o = arraylike2object(x);
-    if (o.accessorProtocol) {
-        return accessors(N, correction, o, strideX, offsetX);
-    }
+	o = arraylike2object(x);
+	if (o.accessorProtocol) {
+		return accessors(N, correction, o, strideX, offsetX);
+	}
 
-    ix = offsetX;
-    M2 = 0.0;
-    mu = 0.0;
+	ix = offsetX;
+	M2 = 0.0;
+	mu = 0.0;
 
-    for (i = 0; i < N; i++) {
-        v = o.data[ix];
-        delta = v - mu;
-        mu += delta / (i + 1);
-        delta2 = v - mu;  // Calculate second delta after mean is updated
-        M2 += delta * delta2;
-        ix += strideX;
-    }
+	for (i = 0; i < N; i++) {
+		v = o.data[ix];
+		delta = v - mu;
+		mu += delta / (i + 1);
+		delta2 = v - mu;  // Calculate second delta after mean is updated
+		M2 += delta * delta2;
+		ix += strideX;
+	}
 
 	return M2 / n;
 }