docs: update docs

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Author: gururaj1512

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

@@ -53,13 +53,12 @@ var sdsnanmean = require( '@stdlib/stats/base/sdsnanmean' );
 
 #### sdsnanmean( N, x, strideX )
 
-Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x`, ignoring `NaN` values and using extended accumulation.
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array, ignoring `NaN` values and using extended accumulation.
 
 ```javascript
 var Float32Array = require( '@stdlib/array/float32' );
 
 var x = new Float32Array( [ 1.0, -2.0, NaN, 2.0 ] );
-var N = x.length;
 
 var v = sdsnanmean( x.length, x, 1 );
 // returns ~0.3333
@@ -158,7 +157,9 @@ function rand() {
     }
     return uniform( -50.0, 50.0 );
 }
+
 var x = filledarrayBy( 10, 'float32', rand );
+console.log( x );
 
 var v = sdsnanmean( x.length, x, 1 );
 console.log( v );
@@ -261,7 +262,7 @@ float stdlib_strided_sdsnanmean_ndarray( const CBLAS_INT N, const float *X, cons
 
 int main( void ) {
     // Create a strided array:
-    const float 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 };
+    const float x[] = { 1.0f, 2.0f, 0.0f/0.0f, 3.0f, 0.0f/0.0f, 4.0f, 5.0f, 6.0f, 0.0f/0.0f, 7.0f, 8.0f, 0.0f/0.0f };
 
     // Specify the number of elements:
     const int N = 6;

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

@@ -1,10 +1,10 @@
 
-{{alias}}( N, x, stride )
+{{alias}}( N, x, strideX )
     Computes the arithmetic mean of a single-precision floating-point strided
     array, ignoring `NaN` values and using extended accumulation.
 
-    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.
@@ -21,8 +21,8 @@
     x: Float32Array
         Input array.
 
-    stride: integer
-        Index increment.
+    strideX: integer
+        Stride length for `x`.
 
     Returns
     -------
@@ -36,22 +36,19 @@
     > {{alias}}( x.length, x, 1 )
     ~0.3333
 
-    // Using `N` and `stride` parameters:
+    // Using `N` and stride parameters:
     > x = new {{alias:@stdlib/array/float32}}( [ -2.0, 1.0, 1.0, -5.0, 2.0, -1.0, NaN ] );
-    > 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/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
     > var x1 = new {{alias:@stdlib/array/float32}}( 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 single-precision floating-point strided
     array, ignoring `NaN` values and using extended accumulation and alternative
     indexing semantics.
@@ -68,11 +65,11 @@
     x: Float32Array
         Input array.
 
-    stride: integer
+    strideX: integer
         Index increment.
 
-    offset: integer
-        Starting index.
+    offsetX: integer
+        Stride length for `x`.
 
     Returns
     -------
@@ -88,8 +85,7 @@
 
     // Using offset parameter:
     > var x = new {{alias:@stdlib/array/float32}}( [ 1.0, -2.0, 3.0, 2.0, 5.0, -1.0, NaN ] );
-    > 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/sdsnanmean/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 = sdsnanmean( x.length, x, 1 );
 	* // returns ~0.3333
 	*/
-	( N: number, x: Float32Array, stride: number ): number;
+	( N: number, x: Float32Array, strideX: number ): number;
 
 	/**
 	* Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using extended accumulation 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 = sdsnanmean.ndarray( x.length, x, 1, 0 );
 	* // returns ~0.3333
 	*/
-	ndarray( N: number, x: Float32Array, stride: number, offset: number ): number;
+	ndarray( N: number, x: Float32Array, strideX: number, offsetX: number ): number;
 }
 
 /**
 * Computes the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using extended accumulation.
 *
 * @param N - number of indexed elements
 * @param x - input array
-* @param stride - stride length
+* @param strideX - stride length
 * @returns arithmetic mean
 *
 * @example