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GitHub - msharp/elixir-statistics: Statistical functions and distributions for Elixir
Statistical functions and distributions for Elixir - msharp/elixir-statistics
Visit SiteGitHub - msharp/elixir-statistics: Statistical functions and distributions for Elixir
Statistical functions and distributions for Elixir - msharp/elixir-statistics
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Statistics
Statistics functions and distributions for Elixir.
Usage
Add Statistics as a dependency in your mix.exs
file to install from hex.pm.
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.
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
Elixir Resources
are all listed below.
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