chore: minor issues

---
type: pre_commit_static_analysis_report
description: Results of running static analysis checks when committing changes.
report:
  - task: lint_filenames
    status: passed
  - task: lint_editorconfig
    status: passed
  - task: lint_markdown
    status: passed
  - task: lint_package_json
    status: na
  - task: lint_repl_help
    status: passed
  - task: lint_javascript_src
    status: passed
  - task: lint_javascript_cli
    status: na
  - task: lint_javascript_examples
    status: na
  - task: lint_javascript_tests
    status: na
  - task: lint_javascript_benchmarks
    status: na
  - task: lint_python
    status: na
  - task: lint_r
    status: na
  - task: lint_c_src
    status: passed
  - task: lint_c_examples
    status: passed
  - task: lint_c_benchmarks
    status: na
  - task: lint_c_tests_fixtures
    status: na
  - task: lint_shell
    status: na
  - task: lint_typescript_declarations
    status: passed
  - task: lint_typescript_tests
    status: na
  - task: lint_license_headers
    status: passed
---

---
type: pre_push_report
description: Results of running various checks prior to pushing changes.
report:
  - task: run_javascript_examples
    status: na
  - task: run_c_examples
    status: passed
  - task: run_cpp_examples
    status: na
  - task: run_javascript_readme_examples
    status: passed
  - task: run_c_benchmarks
    status: na
  - task: run_cpp_benchmarks
    status: na
  - task: run_fortran_benchmarks
    status: na
  - task: run_javascript_benchmarks
    status: na
  - task: run_julia_benchmarks
    status: na
  - task: run_python_benchmarks
    status: na
  - task: run_r_benchmarks
    status: na
  - task: run_javascript_tests
    status: na
---

Author: DhruvArvindSingh

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

@@ -69,18 +69,16 @@ The function has the following parameters:
 
 -   **N**: number of indexed elements.
 -   **x**: input [`Float64Array`][@stdlib/array/float64].
--   **strideX**: index increment for `x`.
+-   **strideX**: stride increment for `x`.
 
 The `N` and `strideX` parameters determine which elements in `x` are accessed at runtime. For example, to compute the [arithmetic mean][arithmetic-mean] of every other element in `x`,
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dmeanpn( N, x, 2 );
+var v = dmeanpn( 4, x, 2 );
 // returns 1.25
 ```
 
@@ -90,18 +88,15 @@ 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 = dmeanpn( N, x1, 2 );
+var v = dmeanpn( 4, x1, 2 );
 // returns 1.25
 ```
 
-#### dmeanpn.ndarray( N, x, stridXe, offset )
+#### dmeanpn.ndarray( N, x, strideX, offsetX )
 
 Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics.
 
@@ -117,18 +112,16 @@ var v = dmeanpn.ndarray( N, x, 1, 0 );
 
 The function has the following additional parameters:
 
--   **offset**: starting index for `x`.
+-   **offsetX**: 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 [arithmetic mean][arithmetic-mean] for every other value in `x` starting from the second value
 
 ```javascript
 var Float64Array = require( '@stdlib/array/float64' );
-var floor = require( '@stdlib/math/base/special/floor' );
 
 var x = new Float64Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
 
-var v = dmeanpn.ndarray( N, x, 2, 1 );
+var v = dmeanpn.ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -213,7 +206,7 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
 ```c
 const double x[] = { 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 };
 
-double v = stdlib_strided_dmeankbn2_ndarray( 4, x, 2, 1 );
+double v = stdlib_strided_dmeanpn_ndarray( 4, x, 2, 1 );
 // returns 1.25
 ```
 
@@ -254,14 +247,8 @@ int main( void ) {
     // Create a strided array:
     const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
 
-    // Specify the number of elements:
-    const int N = 4;
-
-    // Specify the stride length:
-    const int strideX = 2;
-
     // Compute the arithmetic mean:
-    double v = stdlib_strided_dmeanpn( N, x, strideX );
+    double v = stdlib_strided_dmeanpn( 4, x, 2 );
 
     // Print the result:
     printf( "mean: %lf\n", v );

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

@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a double-precision floating-point strided
     array using a two-pass error correction algorithm.
 
-    The `N` and `stride` parameters determine which elements in `x` are accessed
-    at runtime.
+    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
     array view.
@@ -19,8 +19,8 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
     Returns
     -------
@@ -34,28 +34,25 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float64}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > var stride = 2;
-    > {{alias}}( N, x, stride )
+    > {{alias}}( 3, x, 2 )
     ~0.3333
 
     // Using view offsets:
     > var x0 = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
     > var x1 = new {{alias:@stdlib/array/float64}}( x0.buffer, x0.BYTES_PER_ELEMENT*1 );
-    > N = {{alias:@stdlib/math/base/special/floor}}( x0.length / 2 );
-    > stride = 2;
-    > {{alias}}( N, x1, stride )
+    > {{alias}}( 3, x1, 2 )
     ~-0.3333
 
-{{alias}}.ndarray( N, x, stride, offset )
+
+{{alias}}.ndarray( N, x, strideX, offsetX )
     Computes the arithmetic mean of a double-precision floating-point strided
     array using a two-pass error correction algorithm and alternative indexing
     semantics.
 
     While typed array views mandate a view offset based on the underlying
-    buffer, the `offset` parameter supports indexing semantics based on a
+    buffer, the offset parameter supports indexing semantics based on a
     starting index.
 
     Parameters
@@ -66,10 +63,10 @@
     x: Float64Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length.
 
-    offset: integer
+    offsetX: integer
         Starting index.
 
     Returns
@@ -86,8 +83,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float64}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0 ] );
-    > var N = {{alias:@stdlib/math/base/special/floor}}( x.length / 2 );
-    > {{alias}}.ndarray( N, x, 2, 1 )
+    > {{alias}}.ndarray( 3, x, 2, 1 )
     ~-0.3333
 
     See Also

lib/node_modules/@stdlib/stats/base/dmeanpn/docs/types/index.d.ts

@@ -27,7 +27,7 @@ interface Routine {
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
+	* @param strideX - stride length
 	* @returns arithmetic mean
 	*
 	* @example
@@ -38,15 +38,15 @@ interface Routine {
 	* var v = dmeanpn( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: Float64Array, stride: number ): number;
+	( N: number, x: Float64Array, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm and alternative indexing semantics.
 	*
 	* @param N - number of indexed elements
 	* @param x - input array
-	* @param stride - stride length
-	* @param offset - starting index
+	* @param strideX - stride length
+	* @param offsetX - starting index
 	* @returns arithmetic mean
 	*
 	* @example
@@ -57,15 +57,15 @@ interface Routine {
 	* var v = dmeanpn.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float64Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float64Array, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns arithmetic mean
 *
 * @example

lib/node_modules/@stdlib/stats/base/dmeanpn/examples/c/example.c

@@ -17,7 +17,6 @@
 */
 
 #include "stdlib/stats/base/dmeanpn.h"
-#include <stdint.h>
 #include <stdio.h>
 
 int main( void ) {

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

@@ -48,7 +48,7 @@ var ndarray = require( './ndarray.js' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 *
-* var v = dmeanpn( 3, x, 1 );
+* var v = dmeanpn( x.length, x, 1 );
 * // returns ~0.3333
 */
 function dmeanpn( N, x, strideX ) {

lib/node_modules/@stdlib/stats/base/dmeanpn/lib/dmeanpn.native.js

@@ -38,7 +38,7 @@ var addon = require( './../src/addon.node' );
 *
 * var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
 *
-* var v = dmeanpn( 3, x, 1 );
+* var v = dmeanpn( x.length, x, 1 );
 *  //returns ~0.3333
 */
 function dmeanpn( N, x, strideX ) {

lib/node_modules/@stdlib/stats/base/dmeanpn/src/main.c

@@ -27,8 +27,8 @@
 *
 * @param N       number of indexed elements
 * @param X       input array
-* @param strideX  strideX length
-* @return        output value
+* @param strideX  stride length
+* @return         output value
 */
 double API_SUFFIX( stdlib_strided_dmeanpn )( const CBLAS_INT N, const double *X, const CBLAS_INT strideX ) {
 	const CBLAS_INT ox = stdlib_strided_stride2offset( N, strideX );
@@ -40,7 +40,7 @@ double API_SUFFIX( stdlib_strided_dmeanpn )( const CBLAS_INT N, const double *X,
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param strideX - strideX length
+* @param strideX - stride length
 * @param offsetX - starting index
 * @returns {double} arithmetic mean
 */