adamwysokinski / pingouin.jl

Reimplementation of Raphaelvallat's Pingouin in Julia

Pingouin.jl

Documentation

Pingouin is designed for users who want simple yet exhaustive stats functions:

A reimplementation of Raphaelvallat's Pingouin in Julia, from scratch. Currently at a really early stage, usable, but please double check your results.

I'm a PhD student who has to do statistical analysis. I'm also interested in Julia. To learn Julia, I decided to reimplement my favorite stats lib I used in Python. I'm starting with the functions I use the most, and simple statistical tests. I'm open to every suggestions/contributions :)

I'm just starting in Julia, so if you find my code ugly, of if you want to suggest some good practices, feel free to open an issue <3

Pingouin.jl is an open-source statistical package written in pure Julia, and based mostly on DataFrames.jl, and HypothesisTests.jl. Some of its main features are listed below. For a full list of future functions, please refer to the original Python API documentation.

## Installation

You can install the latest table Pingouin through the official repo:

julia> using Pkg
julia> Pkg.add("Pingouin")

Or the latest version (maybe unstable) from github:

pkg> add https://github.com/clementpoiret/Pingouin.jl.git

Current progress

• Distribution,
• Effect sizes,
• Bayesian,
• Non-parametric,
• Correlation and regression [WIP],
• ANOVA and T-test,
• Multiple comparisons and post-hoc tests,
• Circular,
• Contingency,
• Multivariate tests,
• Plotting,
• Power analysis,
• Reliability and consistency,
• Others.

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_shapiro.jl is provided under MIT license.