chore: changes from code review

Author: Neerajpathak07

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

@@ -183,13 +183,13 @@ console.log( v );
 
 #### stdlib_strided_dnanmean( N, \*X, strideX )
 
-Calculate the arithmetic mean of a double-precision floating-point strided array `x`, ignoring `NaN` values.
+Computes the arithmetic mean of a double-precision floating-point strided array `x`, ignoring `NaN` values.
 
 ```c
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 double v = stdlib_strided_dnanmean( 6, x, 2 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:
@@ -204,13 +204,13 @@ double stdlib_strided_dnanmean( const CBLAS_INT N, const double *X, const CBLAS_
 
 #### stdlib_strided_dnanmean_ndarray( N, \*X, strideX, offsetX )
 
-Computes the arithmetic value of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
+Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using alternative indexing semantics.
 
 ```c
 const double x[] = { 1.0, 2.0, 0.0/0.0, 3.0, 0.0/0.0, 4.0, 5.0, 6.0, 0.0/0.0, 7.0, 8.0, 0.0/0.0 };
 
 double v = stdlib_strided_dnanmean_ndarray( 6, x, 2, 0 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:

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

@@ -36,7 +36,7 @@ var dnanmean = require( './../lib/dnanmean.js' );
 * Returns a random value or `NaN`.
 *
 * @private
-* @returns {number} Random number or `NaN`
+* @returns {number} random number or `NaN`
 */
 function rand() {
 	if ( bernoulli( 0.2 ) ) {

lib/node_modules/@stdlib/stats/base/dnanmean/benchmark/benchmark.native.js

@@ -45,7 +45,7 @@ var opts = {
 * Returns a random value or `NaN`.
 *
 * @private
-* @returns {number} Random number or `NaN`
+* @returns {number} random number or `NaN`
 */
 function rand() {
 	if ( bernoulli( 0.2 ) ) {

lib/node_modules/@stdlib/stats/base/dnanmean/benchmark/benchmark.ndarray.js

@@ -36,7 +36,7 @@ var dnanmean = require( './../lib/ndarray.js' );
 * Returns a random value or `NaN`.
 *
 * @private
-* @returns {number} Random number or `NaN`
+* @returns {number} random number or `NaN`
 */
 function rand() {
 	if ( bernoulli( 0.2 ) ) {

lib/node_modules/@stdlib/stats/base/dnanmean/benchmark/benchmark.ndarray.native.js

@@ -45,7 +45,7 @@ var opts = {
 * Returns a random value or `NaN`.
 *
 * @private
-* @returns {number} Random number or `NaN`
+* @returns {number} random number or `NaN`
 */
 function rand() {
 	if ( bernoulli( 0.2 ) ) {

lib/node_modules/@stdlib/stats/base/dnanmean/benchmark/c/benchmark.length.c

@@ -119,7 +119,6 @@ static double benchmark1( int iterations, int len ) {
 		printf( "should not return NaN\n" );
 	}
 	return elapsed;
-
 }
 
 /**

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

@@ -44,5 +44,5 @@ double API_SUFFIX(stdlib_strided_dnanmean)( const CBLAS_INT N, const double *X,
 * @return         output value
 */
 double API_SUFFIX(stdlib_strided_dnanmean_ndarray)( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX ) {
-	return stdlib_strided_dnanmeanpn( N, X, strideX );
+	return stdlib_strided_dnanmeanpn( N, X, strideX, offsetX );
 }

lib/node_modules/@stdlib/stats/base/dnanmean/test/test.dnanmean.js

@@ -104,7 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmean( 4, x, 2 );
+	v = dnanmean( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -126,7 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	v = dnanmean( 4, x, -2 );
+	v = dnanmean( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

lib/node_modules/@stdlib/stats/base/dnanmean/test/test.dnanmean.native.js

@@ -195,7 +195,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmean( 4, x, 2 );
+	v = dnanmean( 5, x, 2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -217,7 +217,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	v = dnanmean( 4, x, -2 );
+	v = dnanmean( 5, x, -2 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();

lib/node_modules/@stdlib/stats/base/dnanmean/test/test.ndarray.js

@@ -104,7 +104,7 @@ tape( 'the function supports a `stride` parameter', function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmean( 4, x, 2, 0 );
+	v = dnanmean( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -126,7 +126,7 @@ tape( 'the function supports a negative `stride` parameter', function test( t )
 		NaN   // 0
 	]);
 
-	v = dnanmean( 4, x, -2, 6 );
+	v = dnanmean( 5, x, -2, 8 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();