https://github.com/msharp/elixir-statistics

Statistical functions and distributions for Elixir
https://github.com/msharp/elixir-statistics

Last synced: 3 months ago
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Statistical functions and distributions for Elixir

• Host: GitHub
• URL: https://github.com/msharp/elixir-statistics
• Owner: msharp
• License: other
• Created: 2013-10-15T03:37:58.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2024-01-05T04:29:29.000Z (about 1 year ago)
• Last Synced: 2024-10-04T20:36:30.881Z (4 months ago)
• Language: Elixir
• Homepage: http://hexdocs.pm/statistics/
• Size: 210 KB
• Stars: 138
• Watchers: 6
• Forks: 31
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
#  Statistics

[![Build Status](https://github.com/msharp/elixir-statistics/actions/workflows/elixir.yml/badge.svg)](https://github.com/msharp/elixir-statistics/actions/workflows/elixir.yml)

[![hex.pm version](https://img.shields.io/hexpm/v/statistics.svg?style=flat)](https://hex.pm/packages/statistics)

Statistics functions and distributions for [Elixir](https://github.com/elixir-lang/elixir).

## Usage

Add Statistics as a dependency in your `mix.exs` file to install from [hex.pm](https://hex.pm).

```elixir

def deps do

  [

    { :statistics, "~> 0.6"}

  ]

end

```

After you are done, run `mix deps.get` in your shell to fetch and compile Statistics.

To try it out, start an interactive Elixir shell with `iex -S mix`.

Get the median value from a list

```

iex> Statistics.median([1,2,3])

2

```

Calculate the variance of a list of values.

```

iex> Statistics.variance([1,2,3,4])

1.25

```

Or draw a random number from a Gaussian distribution with a mean of 1 and standard deviation of 2.

```

iex> Statistics.Distributions.Normal.rand(1, 2)

2.5998185179627384

```

## Documentation

Elixir has great documentation tools using `ex_doc`.

The docs are hosted on [hexdocs.pm/statistics](http://hexdocs.pm/statistics/).

## Performance

This is not a library to use if you need fast computation.

Everything is implemented in Elixir. Many of the implementations use slow approximations, numerical function integration, or trial-and-error methods.

There is much room for improvement. To make this library really fast (and precise), we would probably need to interface with existing C libraries.

## Contributing

I will accept pull requests.

If you want to contribute, please create a topic branch with tests and submit a pull request.

## License

Apache 2