fix README.md file

Author: gkbishnoi07

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

@@ -116,15 +116,12 @@ The function has the following parameters:
 -   **x**: input [`Array`][mdn-array] or [`typed array`][mdn-typed-array].
 -   **strideX**: stride length for `x`.
 
-The `N` and `strideX` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [variance][variance] of every other element in `x`,
+The `N` and strideX parameters determine which elements in the strided array are accessed at runtime. For example, to compute the minimum value of every other element in `x`,
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ];
-var N = floor( x.length / 2 );
-
-var v = variancewd( N, 1, x, 2 );
+var v = variancewd( 4, 1, x, 2 );
 // returns 6.25
 ```
 
@@ -134,18 +131,16 @@ Note that indexing is relative to the first index. To introduce an offset, use [
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x0 = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
 var x1 = new Float64Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
 
-var N = floor( x0.length / 2 );
 
-var v = variancewd( N, 1, x1, 2 );
+var v = variancewd( 4, 1, x1, 2 );
 // returns 6.25
 ```
 
-#### variancewd.ndarray( N, correction, x, strideX, offset )
+#### variancewd.ndarray( N, correction, x, strideX, offsetX )
 
 Computes the [variance][variance] of a strided array using Welford's algorithm and alternative indexing semantics.
 
@@ -160,15 +155,13 @@ The function has the following additional parameters:
 
 -   **offset**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying `buffer`, the `offset` parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other value in `x` starting from the second value
+While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameter supports indexing semantics based on a starting index. For example, to calculate the [variance][variance] for every other element in the strided array  starting from the second element
 
 ```javascript
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ];
-var N = floor( x.length / 2 );
 
-var v = variancewd.ndarray( N, 1, x, 2, 1 );
+var v = variancewd.ndarray( 4, 1, x, 2, 1 );
 // returns 6.25
 ```
 
@@ -181,6 +174,7 @@ var v = variancewd.ndarray( N, 1, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
+-   Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/      accessor`][@stdlib/array/base/accessor]).
 -   If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
 -   Depending on the environment, the typed versions ([`dvariancewd`][@stdlib/stats/base/dvariancewd], [`svariancewd`][@stdlib/stats/base/svariancewd], etc.) are likely to be significantly more performant.
 
@@ -199,7 +193,7 @@ var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
 var variancewd = require( '@stdlib/stats/base/variancewd' );
 
 var x = discreteUniform( 10, -50, 50, {
-    'dtype': 'float64'
+    y'dtype': 'float64'
 });
 console.log( x );
 
@@ -233,6 +227,7 @@ 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>
 
@@ -262,6 +257,8 @@ console.log( v );
 
 [@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
 
+[@stdlib/stats/base/nanvariancewd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvariancewd
+
 [@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
 
 [@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance

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

@@ -32,9 +32,13 @@
 * @returns {number} variance
 *
 * @example
+* function accessor(arr, idx) {
+*     return arr[idx];
+* }
+*
 * var x = {
 *     data: [ 2.0, 4.0, 6.0, 8.0 ],
-*     accessors: [ function get(arr, idx) { return arr[idx]; } ]
+*     accessors: [ accessor ]
 * };
 * var v = variancewd( x.data.length, 1, x, 1, 0 );
 * // returns 10.0