Lite::Statistics

Lite::Statistics is a library for generate statistics from collections of data points.

Installation

Add this line to your application’s Gemfile:

gem 'lite-statistics'

And then execute:

$ bundle

Or install it yourself as:

$ gem install lite-statistics

Configurations
Descriptive
Monkey patches
Benchmarks

Configurations

Any and all monkey patches must be explicitly included anywhere you want to use it.

To globally use the monkey patches, just create an initializer requiring them.

rails g lite:statistics:install will generate the following file: ../config/initalizers/lite_statistics.rb

They can be disabled by commenting any of them out.

# frozen_string_literal: true

require 'lite/statistics/monkey_patches'

Descriptive

Sample

Population calculations will have a shorthand alias that defaults to sample.

Ex: variance => sample_variance

Summary

[Sample Population Summary](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/SUMMARY.md)

Count

Sum
[Sample Population Size](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/SIZE.md)

Distribution

Central tendency

Mean aka Average
Median
Mode

Dispersion

Midrange aka Midextreme
Range
Percentile from Value aka Percentile
Value from Percentile aka Percentile Rank

Spread

[Sample Population Variance](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/VARIANCE.md)
[Sample Population Standard Deviation](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/STANDARD_DEVIATION.md)

[Sample

Population Coefficient of Variation](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/COEFFICIENT_OF_VARIATION.md)

[Sample Population Standard Error](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/STANDARD_ERROR.md)
[Sample Population Z-Scores](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/ZSCORES.md)

Shape

[Sample Population Skewness](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/SKEWNESS.md)
[Sample Population Kurtosis](https://github.com/drexed/lite-statistics/blob/master/docs/descriptive/KURTOSIS.md)

Monkey patches

Including monkey patches will give you Enumerable access to statistics.

[1, 2, 3, 1].mode #=> 1

Benchmarks

All benchmarks are executed using the baseline summary (exact same calculations for each) and the full summary (all available calculations for each). Each is generated using an array containing 1 million random integers on the 2.6.3 Ruby version.

View how each compares to other libs by running the benchmarks.

Baseline summaries

Library	# of Calculations	IPS	Speed
lite-statistics	13	2.5 i/s	—
descriptive_statistics	13	0.6 i/s	4.16x slower
descriptive-statistics	13	1.8 i/s	1.40x slower
statistica	13	—	Too slow to run

Full summaries

Library	# of Calculations	IPS	Speed
lite-statistics	22	1.0 i/s	—
descriptive_statistics	13	0.6 i/s	1.72x slower
descriptive-statistics	16	0.9 i/s	1.10x slower
statistica	19	—	Too slow to run

Development

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Contributing

Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/lite-statistics. This project is intended to be a safe, welcoming space for collaboration, and contributors are expected to adhere to the Contributor Covenant code of conduct.

License

The gem is available as open source under the terms of the MIT License.

Code of Conduct

Everyone interacting in the Lite::Statistics project’s codebases, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.