diff --git a/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md b/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
index b6735cf153ed..6deff1aff6f0 100644
--- a/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
+++ b/lib/node_modules/@stdlib/stats/base/sdsmeanors/README.md
@@ -51,7 +51,7 @@ The [arithmetic mean][arithmetic-mean] is defined as
var sdsmeanors = require( '@stdlib/stats/base/sdsmeanors' );
```
-#### sdsmeanors( N, x, stride )
+#### sdsmeanors( N, x, strideX )
Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array `x` using ordinary recursive summation with extended accumulation.
@@ -59,9 +59,8 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = sdsmeanors( N, x, 1 );
+var v = sdsmeanors( x.length, x, 1 );
// returns ~0.3333
```
@@ -69,18 +68,16 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **x**: input [`Float32Array`][@stdlib/array/float32].
-- **stride**: index increment for `x`.
+- **strideX**: stride length for `x`.
-The `N` and `stride` 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`,
+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 Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float32Array( [ 1.0, 2.0, 2.0, -7.0, -2.0, 3.0, 4.0, 2.0 ] );
-var N = floor( x.length / 2 );
-var v = sdsmeanors( N, x, 2 );
+var v = sdsmeanors( 4, x, 2 );
// returns 1.25
```
@@ -90,18 +87,15 @@ Note that indexing is relative to the first index. To introduce an offset, use [
```javascript
var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x0 = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
var x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element
-var N = floor( x0.length / 2 );
-
-var v = sdsmeanors( N, x1, 2 );
+var v = sdsmeanors( 4, x1, 2 );
// returns 1.25
```
-#### sdsmeanors.ndarray( N, x, stride, offset )
+#### sdsmeanors.ndarray( N, x, strideX, offsetX )
Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and alternative indexing semantics.
@@ -109,26 +103,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-p
var Float32Array = require( '@stdlib/array/float32' );
var x = new Float32Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = sdsmeanors.ndarray( N, x, 1, 0 );
+var v = sdsmeanors.ndarray( x.length, x, 1, 0 );
// returns ~0.33333
```
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
+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 element in `x` starting from the second element
```javascript
var Float32Array = require( '@stdlib/array/float32' );
-var floor = require( '@stdlib/math/base/special/floor' );
var x = new Float32Array( [ 2.0, 1.0, 2.0, -2.0, -2.0, 2.0, 3.0, 4.0 ] );
-var N = floor( x.length / 2 );
-var v = sdsmeanors.ndarray( N, x, 2, 1 );
+var v = sdsmeanors.ndarray( 4, x, 2, 1 );
// returns 1.25
```
@@ -141,7 +132,7 @@ var v = sdsmeanors.ndarray( N, x, 2, 1 );
## Notes
- If `N <= 0`, both functions return `NaN`.
-- Accumulated intermediate values are stored as double-precision floating-point numbers.
+- Accumulated intermediate values are stored as double-precision floating-point numbers.
@@ -154,18 +145,12 @@ var v = sdsmeanors.ndarray( N, x, 2, 1 );
```javascript
-var randu = require( '@stdlib/random/base/randu' );
-var round = require( '@stdlib/math/base/special/round' );
-var Float32Array = require( '@stdlib/array/float32' );
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
var sdsmeanors = require( '@stdlib/stats/base/sdsmeanors' );
-var x;
-var i;
-
-x = new Float32Array( 10 );
-for ( i = 0; i < x.length; i++ ) {
- x[ i ] = round( (randu()*100.0) - 50.0 );
-}
+var x = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float32'
+});
console.log( x );
var v = sdsmeanors( x.length, x, 1 );
@@ -176,6 +161,123 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/sdsmeanors.h"
+```
+
+#### stdlib_strided_sdsmeanors( N, \*X, strideX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f };
+
+float v = stdlib_strided_sdsmeanors( 3, x, 1 );
+// returns 2.0f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+float stdlib_strided_sdsmeanors( const CBLAS_INT N, const float *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_sdsmeanors_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and alternative indexing semantics.
+
+```c
+const float x[] = { 1.0f, 2.0f, 3.0f };
+
+float v = stdlib_strided_sdsmeanors_ndarray( 3, x, 1, 0 );
+// returns 2.0f
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] float*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+float stdlib_strided_sdsmeanors_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/sdsmeanors.h"
+#include
+
+int main( void ) {
+ // Create a strided array:
+ const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f };
+
+ // Specify the number of elements:
+ const int N = 4;
+
+ // Specify the stride length:
+ const int strideX = 2;
+
+ // Compute the arithmetic mean:
+ float v = stdlib_strided_sdsmeanors( N, x, strideX );
+
+ // Print the result:
+ printf( "mean: %f\n", v );
+}
+```
+
+
+
+
+
+
+
+
+