refactor: refactored lib folder's file to ensure consistent structure

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Author: rahulptl165

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

@@ -69,7 +69,7 @@ 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 stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
+The `N` and stride parameters determine which elements in the strided array are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var x = [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0, NaN, NaN ];
@@ -107,7 +107,7 @@ The function has the following additional parameters:
 
 -   **offsetX**: starting index for `x`.
 
-While [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on a starting indices. For example, to calculate the [arithmetic mean][arithmetic-mean] 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 [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
 
 ```javascript
 var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN, NaN ];
@@ -125,9 +125,9 @@ var v = nanmeanpn.ndarray( 5, x, 2, 1 );
 ## Notes
 
 -   If `N <= 0`, both functions return `NaN`.
--   If every indexed element is `NaN`, 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]).
--   Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/base/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/base/snanmeanpn], etc.) are likely to be significantly more performant.
+-   If every indexed element is `NaN`, both functions return `NaN`.
+-   Depending on the environment, the typed versions ([`dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn], [`snanmeanpn`][@stdlib/stats/strided/snanmeanpn], etc.) are likely to be significantly more performant.
 
 </section>
 
@@ -184,10 +184,10 @@ console.log( v );
 
 ## See Also
 
--   <span class="package-name">[`@stdlib/stats/base/dnanmeanpn`][@stdlib/stats/base/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
 -   <span class="package-name">[`@stdlib/stats/base/nanmean`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
--   <span class="package-name">[`@stdlib/stats/base/snanmeanpn`][@stdlib/stats/base/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
+-   <span class="package-name">[`@stdlib/stats/strided/snanmeanpn`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
 
 </section>
 
@@ -209,13 +209,13 @@ console.log( v );
 
 <!-- <related-links> -->
 
-[@stdlib/stats/base/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmeanpn
+[@stdlib/stats/strided/dnanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmeanpn
 
 [@stdlib/stats/base/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanpn
 
 [@stdlib/stats/base/nanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmean
 
-[@stdlib/stats/base/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmeanpn
+[@stdlib/stats/strided/snanmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanpn
 
 [@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
 

lib/node_modules/@stdlib/stats/base/nanmeanpn/benchmark/benchmark.js

@@ -27,7 +27,7 @@ var filledarrayBy = require( '@stdlib/array/filled-by' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var pow = require( '@stdlib/math/base/special/pow' );
 var pkg = require( './../package.json' ).name;
-var nanmeanpn = require( './../lib/nanmeanpn.js' );
+var nanmeanpn = require( './../lib/main.js' );
 
 
 // FUNCTIONS //

lib/node_modules/@stdlib/stats/base/nanmeanpn/docs/repl.txt

@@ -3,7 +3,7 @@
     Computes the arithmetic mean of a strided array, ignoring `NaN` values and
     using a two-pass error correction algorithm.
 
-    The `N` and stride parameters determine which elements in the strided arrays
+    The `N` and stride parameters determine which elements in the strided array
     are accessed at runtime.
 
     Indexing is relative to the first index. To introduce an offset, use a typed

lib/node_modules/@stdlib/stats/base/nanmeanpn/lib/index.js

@@ -27,25 +27,29 @@
 * var nanmeanpn = require( '@stdlib/stats/base/nanmeanpn' );
 *
 * var x = [ 1.0, -2.0, NaN, 2.0 ];
-* var N = x.length;
 *
-* var v = nanmeanpn( N, x, 1 );
+* var v = nanmeanpn( 4, x, 1 );
 * // returns ~0.3333
 *
 * @example
-* var floor = require( '@stdlib/math/base/special/floor' );
 * var nanmeanpn = require( '@stdlib/stats/base/nanmeanpn' );
 *
 * var x = [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0, NaN ];
-* var N = floor( x.length / 2 );
 *
-* var v = nanmeanpn.ndarray( N, x, 2, 1 );
+* var v = nanmeanpn.ndarray( 4, x, 2, 1 );
 * // returns 1.25
 */
 
 // MODULES //
 
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
 var main = require( './main.js' );
+var ndarray = require( './ndarray.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'ndarray', ndarray );
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/nanmeanpn/lib/main.js

@@ -20,14 +20,38 @@
 
 // MODULES //
 
-var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
-var nanmeanpn = require( './nanmeanpn.js' );
+var stride2offset = require( '@stdlib/strided/base/stride2offset' );
 var ndarray = require( './ndarray.js' );
 
 
 // MAIN //
 
-setReadOnly( nanmeanpn, 'ndarray', ndarray );
+/**
+* Computes the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
+*
+* ## Method
+*
+* -   This implementation uses a two-pass approach, as suggested by Neely (1966).
+*
+* ## References
+*
+* -   Neely, Peter M. 1966. "Comparison of Several Algorithms for Computation of Means, Standard Deviations and Correlation Coefficients." _Communications of the ACM_ 9 (7). Association for Computing Machinery: 496–99. doi:[10.1145/365719.365958](https://doi.org/10.1145/365719.365958).
+* -   Schubert, Erich, and Michael Gertz. 2018. "Numerically Stable Parallel Computation of (Co-)Variance." In _Proceedings of the 30th International Conference on Scientific and Statistical Database Management_. New York, NY, USA: Association for Computing Machinery. doi:[10.1145/3221269.3223036](https://doi.org/10.1145/3221269.3223036).
+*
+* @param {PositiveInteger} N - number of indexed elements
+* @param {NumericArray} x - input array
+* @param {integer} strideX - stride length
+* @returns {number} arithmetic mean
+*
+* @example
+* var x = [ 1.0, -2.0, NaN, 2.0 ];
+*
+* var v = nanmeanpn( 4, x, 1 );
+* // returns ~0.3333
+*/
+function nanmeanpn( N, x, strideX ) {
+	return ndarray( N, x, strideX, stride2offset( N, strideX ) );
+}
 
 
 // EXPORTS //

lib/node_modules/@stdlib/stats/base/nanmeanpn/lib/nanmeanpn.js

@@ -24,7 +24,7 @@ var tape = require( 'tape' );
 var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var Float64Array = require( '@stdlib/array/float64' );
-var nanmeanpn = require( './../lib/nanmeanpn.js' );
+var nanmeanpn = require( './../lib/main.js' );
 
 
 // TESTS //