diff --git a/lib/node_modules/@stdlib/stats/array/stdev/README.md b/lib/node_modules/@stdlib/stats/array/stdev/README.md
new file mode 100644
index 000000000000..0206a6615595
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/README.md
@@ -0,0 +1,121 @@
+
+
+# stdev
+
+> Calculate the [standard deviation][standard-deviation] of an array.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var stdev = require( '@stdlib/stats/array/stdev' );
+```
+
+#### stdev( x\[, correction] )
+
+Computes the [standard deviation][standard-deviation] of an array.
+
+```javascript
+var x = [ 1.0, -2.0, 2.0 ];
+
+var v = stdev( x );
+// returns ~2.0817
+```
+
+The function has the following parameters:
+
+- **x**: input array.
+- **correction**: degrees of freedom adjustment. Setting this parameter to a value other than `0` has the effect of adjusting the divisor during the calculation of the [standard deviation][standard-deviation] according to `N-c` where `N` corresponds to the number of array elements and `c` corresponds to the provided degrees of freedom adjustment. When computing the [standard deviation][standard-deviation] of a population, setting this parameter to `0` is the standard choice (i.e., the provided array contains data constituting an entire population). When computing the unbiased sample [standard deviation][standard-deviation], setting this parameter to `1` is the standard choice (i.e., the provided array contains data sampled from a larger population; this is commonly referred to as Bessel's correction). Default: `1.0`.
+
+By default, the function computes the sample [standard deviation][standard-deviation]. To use adjust the degrees of freedom when computing the [standard deviation][standard-deviation], provide a `correction` argument.
+
+```javascript
+var x = [ 1.0, -2.0, 2.0 ];
+
+var v = stdev( x, 0.0 );
+// returns ~1.6997
+```
+
+
+
+
+
+
+
+## Notes
+
+- If provided an empty array, the function returns `NaN`.
+- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
+- The function supports array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var stdev = require( '@stdlib/stats/array/stdev' );
+
+var x = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
+console.log( x );
+
+var v = stdev( x );
+console.log( v );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[standard-deviation]: https://en.wikipedia.org/wiki/Standard_deviation
+
+[@stdlib/array/base/accessor]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/array/base/accessor
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/array/stdev/benchmark/benchmark.js
new file mode 100644
index 000000000000..07cce86cb17b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/benchmark/benchmark.js
@@ -0,0 +1,96 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var pow = require( '@stdlib/math/base/special/pow' );
+var pkg = require( './../package.json' ).name;
+var stdev = require( './../lib' );
+
+
+// VARIABLES //
+
+var options = {
+ 'dtype': 'generic'
+};
+
+
+// FUNCTIONS //
+
+/**
+* Creates a benchmark function.
+*
+* @private
+* @param {PositiveInteger} len - array length
+* @returns {Function} benchmark function
+*/
+function createBenchmark( len ) {
+ var x = uniform( len, -10, 10, options );
+ return benchmark;
+
+ function benchmark( b ) {
+ var v;
+ var i;
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ v = stdev( x, 1.0 );
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( v ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+ }
+}
+
+
+// MAIN //
+
+/**
+* Main execution sequence.
+*
+* @private
+*/
+function main() {
+ var len;
+ var min;
+ var max;
+ var f;
+ var i;
+
+ min = 1; // 10^min
+ max = 6; // 10^max
+
+ for ( i = min; i <= max; i++ ) {
+ len = pow( 10, i );
+ f = createBenchmark( len );
+ bench( pkg+':len='+len, f );
+ }
+}
+
+main();
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/docs/repl.txt b/lib/node_modules/@stdlib/stats/array/stdev/docs/repl.txt
new file mode 100644
index 000000000000..d5bda912e88d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/docs/repl.txt
@@ -0,0 +1,38 @@
+
+{{alias}}( x[, correction] )
+ Computes the standard deviation of an array.
+
+ If provided an empty array, the function returns `NaN`.
+
+ Parameters
+ ----------
+ x: Array|TypedArray
+ Input array.
+
+ correction: number (optional)
+ Degrees of freedom adjustment. Setting this parameter to a value other
+ than `0` has the effect of adjusting the divisor during the calculation
+ of the standard deviation according to `N-c` where `N` corresponds to
+ the number of array elements and `c` corresponds to the provided
+ degrees of freedom adjustment. When computing the standard deviation of
+ a population, setting this parameter to `0` is the standard choice
+ (i.e., the provided array contains data constituting an entire
+ population). When computing the unbiased sample standard deviation,
+ setting this parameter to `1` is the standard choice (i.e., the
+ provided array contains data sampled from a larger population; this is
+ commonly referred to as Bessel's correction). Default: `1.0`.
+
+ Returns
+ -------
+ out: number
+ The standard deviation.
+
+ Examples
+ --------
+ > var x = [ 1.0, -2.0, 2.0 ];
+ > {{alias}}( x, 1.0 )
+ ~2.0817
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/array/stdev/docs/types/index.d.ts
new file mode 100644
index 000000000000..469f13cca576
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/docs/types/index.d.ts
@@ -0,0 +1,48 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+///
+
+import { NumericArray, Collection, AccessorArrayLike } from '@stdlib/types/array';
+
+/**
+* Input array.
+*/
+type InputArray = NumericArray | Collection | AccessorArrayLike;
+
+/**
+* Computes the standard deviation of an array.
+*
+* @param x - input array
+* @param correction - degrees of freedom adjustment
+* @returns standard deviation
+*
+* @example
+* var x = [ 1.0, -2.0, 2.0 ];
+*
+* var v = stdev( x, 1.0 );
+* // returns ~2.0817
+*/
+declare function stdev( x: InputArray, correction?: number ): number;
+
+
+// EXPORTS //
+
+export = stdev;
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/docs/types/test.ts b/lib/node_modules/@stdlib/stats/array/stdev/docs/types/test.ts
new file mode 100644
index 000000000000..1ea6c22c2ca3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/docs/types/test.ts
@@ -0,0 +1,76 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import AccessorArray = require( '@stdlib/array/base/accessor' );
+import stdev = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ const x = new Float64Array( 10 );
+
+ stdev( x ); // $ExpectType number
+ stdev( new AccessorArray( x ) ); // $ExpectType number
+
+ stdev( x, 1.0 ); // $ExpectType number
+ stdev( new AccessorArray( x ), 1.0 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided a first argument which is not a numeric array...
+{
+ stdev( 10 ); // $ExpectError
+ stdev( '10' ); // $ExpectError
+ stdev( true ); // $ExpectError
+ stdev( false ); // $ExpectError
+ stdev( null ); // $ExpectError
+ stdev( undefined ); // $ExpectError
+ stdev( {} ); // $ExpectError
+ stdev( ( x: number ): number => x ); // $ExpectError
+
+ stdev( 10, 1.0 ); // $ExpectError
+ stdev( '10', 1.0 ); // $ExpectError
+ stdev( true, 1.0 ); // $ExpectError
+ stdev( false, 1.0 ); // $ExpectError
+ stdev( null, 1.0 ); // $ExpectError
+ stdev( undefined, 1.0 ); // $ExpectError
+ stdev( {}, 1.0 ); // $ExpectError
+ stdev( ( x: number ): number => x, 1.0 ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided a second argument which is not a number...
+{
+ const x = new Float64Array( 10 );
+
+ stdev( x, '10' ); // $ExpectError
+ stdev( x, true ); // $ExpectError
+ stdev( x, false ); // $ExpectError
+ stdev( x, null ); // $ExpectError
+ stdev( x, [] ); // $ExpectError
+ stdev( x, {} ); // $ExpectError
+ stdev( x, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ const x = new Float64Array( 10 );
+
+ stdev(); // $ExpectError
+ stdev( x, 1.0, {} ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/examples/index.js b/lib/node_modules/@stdlib/stats/array/stdev/examples/index.js
new file mode 100644
index 000000000000..9b0063f92404
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/examples/index.js
@@ -0,0 +1,30 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var discreteUniform = require( '@stdlib/random/array/discrete-uniform' );
+var stdev = require( './../lib' );
+
+var x = discreteUniform( 10, -50, 50, {
+ 'dtype': 'float64'
+});
+console.log( x );
+
+var v = stdev( x );
+console.log( v );
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/lib/index.js b/lib/node_modules/@stdlib/stats/array/stdev/lib/index.js
new file mode 100644
index 000000000000..c0474f555f00
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/lib/index.js
@@ -0,0 +1,42 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Compute the standard deviation of an array.
+*
+* @module @stdlib/stats/array/stdev
+*
+* @example
+* var stdev = require( '@stdlib/stats/array/stdev' );
+*
+* var x = [ 1.0, -2.0, 2.0 ];
+*
+* var v = stdev( x, 1.0 );
+* // returns ~2.0817
+*/
+
+// MODULES //
+
+var main = require( './main.js' );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/lib/main.js b/lib/node_modules/@stdlib/stats/array/stdev/lib/main.js
new file mode 100644
index 000000000000..f4740d4812d6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/lib/main.js
@@ -0,0 +1,81 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isCollection = require( '@stdlib/assert/is-collection' );
+var isNumber = require( '@stdlib/assert/is-number' ).isPrimitive;
+var dtypes = require( '@stdlib/array/dtypes' );
+var dtype = require( '@stdlib/array/dtype' );
+var contains = require( '@stdlib/array/base/assert/contains' );
+var join = require( '@stdlib/array/base/join' );
+var strided = require( '@stdlib/stats/base/stdev' ).ndarray;
+var format = require( '@stdlib/string/format' );
+
+
+// VARIABLES //
+
+var IDTYPES = dtypes( 'real_and_generic' );
+var GENERIC_DTYPE = 'generic';
+
+
+// MAIN //
+
+/**
+* Computes the standard deviation of an array.
+*
+* @param {NumericArray} x - input array
+* @param {number} correction - degrees of freedom adjustment
+* @throws {TypeError} first argument must have a supported data type
+* @throws {TypeError} first argument must be an array-like object
+* @throws {TypeError} second argument must be an number
+* @returns {number} standard deviation
+*
+* @example
+* var x = [ 1.0, -2.0, 2.0 ];
+*
+* var v = stdev( x, 1.0 );
+* // returns ~2.0817
+*/
+function stdev( x ) {
+ var correction;
+ var dt;
+ if ( !isCollection( x ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must be an array-like object. Value: `%s`.', x ) );
+ }
+ dt = dtype( x ) || GENERIC_DTYPE;
+ if ( !contains( IDTYPES, dt ) ) {
+ throw new TypeError( format( 'invalid argument. First argument must have one of the following data types: "%s". Data type: `%s`.', join( IDTYPES, '", "' ), dt ) );
+ }
+ if ( arguments.length > 1 ) {
+ correction = arguments[ 1 ];
+ if ( !isNumber( correction ) ) {
+ throw new TypeError( format( 'invalid argument. Second argument must be a number. Value: `%s`.', correction ) );
+ }
+ } else {
+ correction = 1.0;
+ }
+ return strided( x.length, correction, x, 1, 0 );
+}
+
+
+// EXPORTS //
+
+module.exports = stdev;
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/package.json b/lib/node_modules/@stdlib/stats/array/stdev/package.json
new file mode 100644
index 000000000000..a57af736463b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/package.json
@@ -0,0 +1,71 @@
+{
+ "name": "@stdlib/stats/array/stdev",
+ "version": "0.0.0",
+ "description": "Calculate the standard deviation of an array.",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "lib": "./lib",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "mathematics",
+ "math",
+ "standard deviation",
+ "variance",
+ "var",
+ "deviation",
+ "dispersion",
+ "spread",
+ "sample standard deviation",
+ "unbiased",
+ "stdev",
+ "std",
+ "array"
+ ],
+ "__stdlib__": {}
+}
diff --git a/lib/node_modules/@stdlib/stats/array/stdev/test/test.js b/lib/node_modules/@stdlib/stats/array/stdev/test/test.js
new file mode 100644
index 000000000000..ced3c57844ab
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/array/stdev/test/test.js
@@ -0,0 +1,350 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2025 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var toAccessorArray = require( '@stdlib/array/base/to-accessor-array' );
+var BooleanArray = require( '@stdlib/array/bool' );
+var Complex128Array = require( '@stdlib/array/complex128' );
+var stdev = require( './../lib' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof stdev, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function has an arity of 1', function test( t ) {
+ t.strictEqual( stdev.length, 1, 'returns expected value' );
+ t.end();
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ stdev( value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which is not an array-like object (correction)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ 5,
+ NaN,
+ true,
+ false,
+ null,
+ void 0,
+ {},
+ function noop() {}
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ stdev( value, 1.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which has an unsupported data type', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ new BooleanArray( 4 ),
+ new Complex128Array( 4 )
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ stdev( value );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a first argument which has an unsupported data type (correction)', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ new BooleanArray( 4 ),
+ new Complex128Array( 4 )
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ stdev( value, 1.0 );
+ };
+ }
+});
+
+tape( 'the function throws an error if provided a second argument which is not a number', function test( t ) {
+ var values;
+ var i;
+
+ values = [
+ '5',
+ true,
+ false,
+ null,
+ void 0,
+ [],
+ {},
+ function noop() {}
+ ];
+ for ( i = 0; i < values.length; i++ ) {
+ t.throws( badValue( values[ i ] ), TypeError, 'throws an error when provided ' + values[ i ] );
+ }
+ t.end();
+
+ function badValue( value ) {
+ return function badValue() {
+ stdev( [ 1, 2, 3 ], value );
+ };
+ }
+});
+
+tape( 'the function calculates the population standard deviation of an array', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( x, 0.0 );
+ t.strictEqual( v, sqrt( 53.5/x.length ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( x, 0.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, 4.0 ];
+ v = stdev( x, 0.0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the population standard deviation of an array (accessors)', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( toAccessorArray( x ), 0.0 );
+ t.strictEqual( v, sqrt( 53.5/x.length ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( toAccessorArray( x ), 0.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, 4.0 ];
+ v = stdev( toAccessorArray( x ), 0.0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the population standard deviation of an array (array-like object)', function test( t ) {
+ var x;
+ var v;
+
+ x = {
+ 'length': 6,
+ '0': 1.0,
+ '1': -2.0,
+ '2': -4.0,
+ '3': 5.0,
+ '4': 0.0,
+ '5': 3.0
+ };
+ v = stdev( x, 0.0 );
+ t.strictEqual( v, sqrt( 53.5/x.length ), 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the sample standard deviation of an array (default)', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( x );
+ t.strictEqual( v, sqrt( 53.5/(x.length-1) ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( x );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, 4.0 ];
+ v = stdev( x );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the sample standard deviation of an array (default, accessors)', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( toAccessorArray( x ) );
+ t.strictEqual( v, sqrt( 53.5/(x.length-1) ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( toAccessorArray( x ) );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ v = stdev( toAccessorArray( x ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the sample standard deviation of an array', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( x, 1.0 );
+ t.strictEqual( v, sqrt( 53.5/(x.length-1) ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( x, 1.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, 4.0 ];
+ v = stdev( x, 1.0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function calculates the sample standard deviation of an array (accessors)', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 0.0, 3.0 ];
+ v = stdev( toAccessorArray( x ), 1.0 );
+ t.strictEqual( v, sqrt( 53.5/(x.length-1) ), 'returns expected value' );
+
+ x = [ -4.0, -4.0 ];
+ v = stdev( toAccessorArray( x ), 1.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+
+ x = [ NaN, NaN ];
+ v = stdev( toAccessorArray( x ), 1.0 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided an empty array, the function returns `NaN`', function test( t ) {
+ var v = stdev( [] );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an empty array, the function returns `NaN` (accessors)', function test( t ) {
+ var v = stdev( toAccessorArray( [] ) );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an array containing a single element, the function returns `0` when computing the population standard deviation', function test( t ) {
+ var v = stdev( [ 1.0 ], 0.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided an array containing a single element, the function returns `0` when computing the population standard deviation (accessors)', function test( t ) {
+ var v = stdev( toAccessorArray( [ 1.0 ] ), 0.0 );
+ t.strictEqual( v, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a `correction` parameter which is greater than or equal to the input array length, the function returns `NaN`', function test( t ) {
+ var x;
+ var v;
+
+ x = [ 1.0, -2.0, -4.0, 5.0, 3.0 ];
+
+ v = stdev( x, x.length );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = stdev( x, x.length+1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a `correction` parameter which is greater than or equal to the input array length, the function returns `NaN` (accessors)', function test( t ) {
+ var x;
+ var v;
+
+ x = toAccessorArray( [ 1.0, -2.0, -4.0, 5.0, 3.0 ] );
+
+ v = stdev( x, x.length );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ v = stdev( x, x.length+1 );
+ t.strictEqual( isnan( v ), true, 'returns expected value' );
+
+ t.end();
+});