chore: changes from code review

Author: Neerajpathak07

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

@@ -189,7 +189,7 @@ Computes arithmetic mean of a double-precision floating-point strided array `x`,
 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_dnanmeanpn( 6, x, 2 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:
@@ -210,7 +210,7 @@ Computes the aithmetic mean of a double-precision floating-point strided array,
 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_dnanmeanpn( 6, x, 2, 0 );
-// returns 1.25
+// returns 4.66
 ```
 
 The function accepts the following arguments:

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

@@ -19,7 +19,6 @@
 #include "stdlib/stats/base/dnanmeanpn.h"
 #include "stdlib/blas/base/shared.h"
 #include "stdlib/strided/base/stride2offset.h"
-#include <stdint.h>
 
 /**
 * Computes the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.
@@ -66,14 +65,9 @@ double API_SUFFIX(stdlib_strided_dnanmeanpn_ndarray)( const CBLAS_INT N, const d
 		return 0.0 / 0.0; // NaN
 	}
 	if ( N == 1 || strideX == 0 ) {
-		return X[ 0 ];
+		return X[ offsetX ];
 	}
-	if ( strideX < 0 ) {
-		ix = (1-N) * strideX;
-	} else {
-		ix = 0;
-	}
-	o = ix;
+	ix = offsetX;
 
 	// Compute an estimate for the mean...
 	s = 0.0;
@@ -93,8 +87,8 @@ double API_SUFFIX(stdlib_strided_dnanmeanpn_ndarray)( const CBLAS_INT N, const d
 	s /= dn;
 
 	// Compute an error term...
+	ix = offsetX;
 	t = 0.0;
-	ix = o;
 	for ( i = 0; i < N; i++ ) {
 		v = X[ ix ];
 		if ( v == v ) {

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

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

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

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

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

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

lib/node_modules/@stdlib/stats/base/dnanmeanpn/test/test.ndarray.native.js

@@ -113,7 +113,7 @@ tape( 'the function supports a `stride` parameter', opts, function test( t ) {
 		NaN   // 4
 	]);
 
-	v = dnanmeanpn( 4, x, 2, 0 );
+	v = dnanmeanpn( 5, x, 2, 0 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();
@@ -135,7 +135,7 @@ tape( 'the function supports a negative `stride` parameter', opts, function test
 		NaN   // 0
 	]);
 
-	v = dnanmeanpn( 4, x, -2, 6 );
+	v = dnanmeanpn( 5, x, -2, 8 );
 
 	t.strictEqual( v, 1.25, 'returns expected value' );
 	t.end();