diff --git a/lib/node_modules/@stdlib/stats/base/dmean/README.md b/lib/node_modules/@stdlib/stats/base/dmean/README.md
index 6e5fb8530608..b2ceb7c5a4cb 100644
--- a/lib/node_modules/@stdlib/stats/base/dmean/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dmean/README.md
@@ -51,17 +51,16 @@ The [arithmetic mean][arithmetic-mean] is defined as
var dmean = require( '@stdlib/stats/base/dmean' );
```
-#### dmean( N, x, stride )
+#### dmean( N, x, strideX )
-Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array `x`.
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array.
```javascript
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dmean( N, x, 1 );
+var v = dmean( x.length, x, 1 );
// returns ~0.3333
```
@@ -69,18 +68,16 @@ The function has the following parameters:
- **N**: number of indexed elements.
- **x**: input [`Float64Array`][@stdlib/array/float64].
-- **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 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 = dmean( N, x, 2 );
+var v = dmean( 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 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 = dmean( N, x1, 2 );
+var v = dmean( 4, x1, 2 );
// returns 1.25
```
-#### dmean.ndarray( N, x, stride, offset )
+#### dmean.ndarray( N, x, strideX, offsetX )
Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using alternative indexing semantics.
@@ -109,26 +103,23 @@ Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-p
var Float64Array = require( '@stdlib/array/float64' );
var x = new Float64Array( [ 1.0, -2.0, 2.0 ] );
-var N = x.length;
-var v = dmean.ndarray( N, x, 1, 0 );
+var v = dmean.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 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 = dmean.ndarray( N, x, 2, 1 );
+var v = dmean.ndarray( 4, x, 2, 1 );
// returns 1.25
```
@@ -175,6 +166,123 @@ console.log( v );
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dmean.h"
+```
+
+#### stdlib_strided_dmean( N, \*X, strideX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+
+double v = stdlib_strided_dmean( 4, x, 2 );
+// returns 4.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+
+```c
+double stdlib_strided_dmean( const CBLAS_INT N, const double *X, const CBLAS_INT strideX );
+```
+
+#### stdlib_strided_dmean_ndarray( N, \*X, strideX, offsetX )
+
+Computes the [arithmetic mean][arithmetic-mean] of a double-precision floating-point strided array using alternative indexing semantics.
+
+```c
+const double x[] = { 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0 };
+
+double v = stdlib_strided_dmean_ndarray( 4, x, 2, 0 );
+// returns 4.0
+```
+
+The function accepts the following arguments:
+
+- **N**: `[in] CBLAS_INT` number of indexed elements.
+- **X**: `[in] double*` input array.
+- **strideX**: `[in] CBLAS_INT` stride length for `X`.
+- **offsetX**: `[in] CBLAS_INT` starting index for `X`.
+
+```c
+double stdlib_strided_dmean_ndarray( const CBLAS_INT N, const double *X, const CBLAS_INT strideX, const CBLAS_INT offsetX );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dmean.h"
+#include
+
+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_dmean( N, x, strideX );
+
+ // Print the result:
+ printf( "mean: %lf\n", v );
+}
+```
+
+
+
+
+
+
+
+
+