https://github.com/whossname/stream_stats

Concurrent calculation of count, mean and standard deviation
https://github.com/whossname/stream_stats

elixir standard-deviation statistics stream-processing

Last synced: about 1 month ago
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Concurrent calculation of count, mean and standard deviation

• Host: GitHub
• URL: https://github.com/whossname/stream_stats
• Owner: whossname
• License: mit
• Created: 2019-09-27T02:59:16.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-10-01T07:59:38.000Z (over 5 years ago)
• Last Synced: 2024-11-28T21:44:34.542Z (about 2 months ago)
• Topics: elixir, standard-deviation, statistics, stream-processing
• Language: Elixir
• Homepage: https://hexdocs.pm/stream_stats
• Size: 7.81 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
# StreamStats

Enables concurrent calculation of count, mean and standard deviation.

New values can be aggregated into an existing stat tuple and two stat

tuples can be merged into one.

Inspired by the following article by John D. Cook:

https://www.johndcook.com/blog/skewness_kurtosis/

## Installation

The package can be installed by adding `stream_stats` to your list of

dependencies in `mix.exs`:

```elixir

def deps do

  [

    {:stream_stats, "~> 0.1.0"}

  ]

end

```

## Example usage

Given two lists of numbers `values_1` and `values_2` the two lists can be

aggregated independently, then combined into a single stats tuple:

```elixir

  stream_1 = StreamStats.reduce(values_1)

  stream_2 = StreamStats.reduce(values_2)

  stats = StreamStats.combine(stream_1, stream_2)

  {count, mean, _m2} = stats

  std_dev = StreamStats.standard_deviation(stats)

```