Let's do the Statistical Rethinking journey in Ruby!
The book "Statistical Rethinking" by Richard McElreath is a famous textbook to learn Bayesian Statistics. There is a variety of additional material on the internet available for Python, R and probably other programming languages.
This repository offers some material of following the book and its excercises in Ruby. On the one hand, this repository offers Ruby-based Jupyter notebooks using iruby, on the other hand it is packaged as Ruby gem to easily install some dependencies like charting libraries to run the notebooks.
The second edition!
Sure. Just install the gem and play with it in any other Ruby environment you use!
First: You need to have Jupyter installed on your machine! Check https://jupyter.org/install for installation information!
The structure of this repository forms a Ruby gem. But before you can install
it, you need to make sure iruby is working on
your machine. In case of doubt, check latest iruby
documentation!
Then you just do
gem install rubythinking && iruby register --force
After this, you have installed this little Ruby gem and told iruby kernel to take
it into account. Now you can start a Jupyter notebook and inspect the jupyter
notebooks in the /notebooks
folder of this repository. To do so, download the repo,
cd
into the directory and
jupyter notebook
By installing the gem, some other dependency gems will get installed for you that are convenient helpers in the notebooks.
If you are creating a new Jupyter notebook with iruby, then you can load all code
used by rubythinking
with
require "rubythinking"
include Rubythinking
dbinom(6, prob: 0.5, size: 9) # => 0.1640625
rbinom(10, prob: 0.5, size: 5) # => [2, 2, 1, 0, 4, 1, 3, 1, 3, 1]
…
I'd appreciate this very much! ☀️ This project is very incomplete and there are tons of excercises and snippets of the book that await being ported to Ruby by someone. Unfortunately, I can only do it from time to time and I'd love having people joining this initiative.
If you are interested, feel free to pick up any part of the book you are interested in, try replicating or adopting it with Ruby and then either support an iruby notebook to the notebooks folder or anything else you like to this repository. Supplementary Ruby code can go somewhere in the the lib folder.
Even tiny contributions are rewarded with extra positive karma 😉