Travis build: 710 [ci skip]
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README.md
38
README.md
@ -260,6 +260,15 @@
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</details>
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### _Uncategorized_
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<details>
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<summary>View contents</summary>
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* [`sampleSize`](#samplesize)
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</details>
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---
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## 🔌 Adapter
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@ -4361,6 +4370,35 @@ yesNo('Foo', true); // true
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<br>[⬆ Back to top](#table-of-contents)
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---
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## _Uncategorized_
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### sampleSize
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Gets `n` random elements at unique keys from `array` up to the size of `array`.
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Shuffle the array using the [Fisher-Yates algorithm](https://github.com/chalarangelo/30-seconds-of-code#shuffle).
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Use `Array.slice()` to get the first `n` elements.
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Omit the second argument, `n` to get only one element at random from the array.
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```js
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const sampleSize = ([...arr], n = 1) => {
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let m = arr.length;
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while (m) {
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const i = Math.floor(Math.random() * m--);
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[arr[m], arr[i]] = [arr[i], arr[m]];
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}
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return arr.slice(0, n);
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};
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```
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```js
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sampleSize([1, 2, 3], 2); // [3,1]
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sampleSize([1, 2, 3], 4); // [2,3,1]
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```
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<br>[⬆ back to top](#table-of-contents)
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## Collaborators
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@ -7,17 +7,17 @@ Use `Array.slice()` to get the first `n` elements.
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Omit the second argument, `n` to get only one element at random from the array.
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```js
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const sampleSize = ([...arr],n=1) => {
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const sampleSize = ([...arr], n = 1) => {
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let m = arr.length;
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while (m) {
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const i = Math.floor(Math.random() * m--);
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[arr[m], arr[i]] = [arr[i], arr[m]];
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}
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return arr.slice(0,n)
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}
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return arr.slice(0, n);
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};
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```
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```js
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sampleSize([1,2,3],2); // [3,1]
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sampleSize([1,2,3],4); // [2,3,1]
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sampleSize([1, 2, 3], 2); // [3,1]
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sampleSize([1, 2, 3], 4); // [2,3,1]
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```
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@ -114,6 +114,7 @@ RGBToHex:utility
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round:math
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runPromisesInSeries:function
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sample:array
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sampleSize:uncategorized
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scrollToTop:browser
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sdbm:utility
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select:object
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