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  1. R Bytecode
    R Bytecode
    An exploration of R's stack-based virtual machine and its bytecode.
    mikefc

    Disassemble and assemble R bytecode

  2. Probability of Default Rating Modeling with R
    Probability of Default Rating Modeling with R
    Comprehensive overview of the modeling processes, principles, and designs
    Andrija Djurovic

    This book bridges theory and practice in PD rating modeling, offering practical steps, real-world examples, and a focus on design. It enables readers to shape customized solutions for diverse institutions, transforming the landscape of credit risk modeling.

  3. The Hitchhiker's Guide to Linear Models
    The Hitchhiker's Guide to Linear Models
    Based on the famous R programming language
    Mauricio 'Pacha' Vargas Sepúlveda

    For every exercise I did my best to connect the specific statistical concepts with R code, and every time I use linear algebra I connect it with a concrete R example. In this book you will not find something such as "this is left as an exercise to the reader".

  4. Reinforcement Learning Explained - A Step-by-Step Guide to Reward-Driven AI

    Discover the thrilling world of Reinforcement Learning (RL) in our engaging eBook! Learn the fundamentals of RL, from AI agents and environments to rewards and actions. Explore real-world applications like robotics, healthcare, and personalized recommendations, where RL is transforming industries.

  5. Building reproducible analytical pipelines with R

    Build reproducible analytical pipelines to output consistent, high-quality data products using R, Github and Docker. Learn about functional and literate programming to keep your code concise, easier to test and share and easily understandable by others by packaging it. Run your pipelines on Github Actions and focus on what matters: analysing data!

  6. The Hitchhiker's Guide to Responsible Machine Learning
    The Hitchhiker's Guide to Responsible Machine Learning
    The introduction to Interpretable and Responsible Machine Learning and eXplainable Artificial Intelligence with code examples for R
    Przemysław Biecek

    Selected modern machine learning techniques and the intuition behind them. Methods are supplemented by code snippets with examples in R language. The process is shown through a comic book describing the adventures of two characters, Beta and Bit.  See the flipbook version at https://betaandbit.github.io/RML/

  7. Statistical foundations of machine learning: the book

    All statistical foundations you need to understand and use machine learning! It includes R/Pyhton software and Shiny dashboards to illustrate numerically the most important concepts.

  8. Using basic models in conservation biology
    Using basic models in conservation biology
    Simulating stochastic ecological models with R
    Jacob Koella

    Understanding the dynamics of populations is indispensable for conservation biologists. 'Using basic models in conservation biology' will help you to get a grasp of the fundamentals, and it will show you how to use and develop these aspects with the programming language R.

  9. Fundamentos de R: Ejercicios resueltos y comentados

    El complemento imprescindible del manual Fundamentos de R.

  10. Fundamentos de R
    Fundamentos de R
    José C. Chacón

    Este manual está dedicado íntegramente a los fundamentos de R y sólo a ellos. Se espera así complementar la formación de los científicos de datos, que disponen de cientos de manuales sobre análisis de datos con R pero apenas cuentan con manuales, completos, que fundamenten en detalle la herramienta a utilizar.

  11. DataViz: How to Choose the Right Chart for Your Data

    DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics.It is a snappy little non-threatening book about everything you ever wanted to know about the craft of creating inspirational graphics for your study – irrespective of your audience.

  12. Effective Data Visualization with R: Volume III - ggplot2

    The goal of this book is to get the reader up to speed with chart production with ggplot2. This book is the third in a series of books by the same author which deals with data visualization in R. Hope you enjoy it as we did writing it.

  13. Effective Data Visualization with R: Volume II - lattice

    The goal of this book is to explore the nooks and crannies of chart production with the lattice package and is the second in a series of books on data visualization with R. Enjoy !!!

  14. Effective Data Visualization with R: Volume I - Base Graphics

    If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled.  The goal of this book is to explore chart production with base graphics in depth.

  15. A Step-By-Step Guide to Launching a Personal Website, Blog, or Portfolio using R
    A Step-By-Step Guide to Launching a Personal Website, Blog, or Portfolio using R
    Learn how to use R, blogdown, Hugo, Netlify, and other open source tools to publish and analyze your very own website
    Danny Morris

    Interested in launching a personal website, blog, or project portfolio? Take this opportunity to learn the step-by-step process to create, design, publish, and analyze your website using R and many other open source technologies.