statistical-js
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Simple to use, completely useful
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Library that provide you some statistics which are useful and with the best performance execution.
## Getting Started
`npm install --save statistcal-js`
import the library :
```javascript
/* how to import and use it */
const statistical = require('statistical-js');
```
use statistical methods :
```js
const res = statistical.methods.sum([1, 2, 3]);
```
or use machine learning methods :
```js
const p = new statistical.ml.Perceptron({
learningRate: 0.3,
bias: 0.5
});
```
### Performance
To provide you with the best performance when using statistical-js, this library has implemented a variable cache system to save the last calculations.
To see how manage it if it necessary, you can go to [perfomance section !](https://github.com/adrien2p/statistical-js/wiki/Performance)
### Actually supported
Click there see the complete [documentation](https://github.com/adrien2p/statistical-js/wiki).
- Simple statistics
- Min
- Max
- Sum
- Median
- Mode
- Mean
- Variance
- Standard deviation
- Quantile
- Summary (regroup all descriptives statistics above)
- Percentile
- Factorial
- Geometric mean
- Harmonic mean
- InterQuartileRange
- Sample variance (Non biased variance)
- Sample Standard deviation (Non biased std deviation)
- Advanced statistics
- Covariance
- Binomial
- Bernoulli
- Poisson
- Chi Squared Goodness Of Fit
- T-test - one sample (t-value)
- T-test - two sample (t-value)
- Linear regression (slope, intersect)
- Machine learning
- Perceptron (Single layer)
As soon as possible, more features will be available.
## Test
To run test without coverage.
> npm run test
If you want to generate coverage in `./coverage`.
> npm run test:coverage
## Lint
The command to lint code and fix it at the same time
> npm run lint
## build
To build dev version `./lib/statistical.js`
> npm run dev
If you want to generate the production version `./lib/statistical.min.js`
> npm run build
## License
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details