23.1 Getting used to R, RStudio, and R Markdown
by Chester Ismay
This resource is designed to provide new users to R, RStudio, and R Markdown with the introductory steps needed to begin their own reproducible research. A review of many of the common R errors encountered (and what they mean in layman’s terms) will also provided be provided.
23.2 Introduction to R Markdown
by Michael Clark
The goal is for you to be able to get quickly started with your own document, and understand the possibilities available to you. You will get a feel for the basic mechanics at play, as well as have ideas on how to customize the result to your own tastes.
by Yihui Xie
Dynamic documents with R and knitr!
The knitr package was designed to be a transparent engine for dynamic report generation with R, solve some long-standing problems in Sweave, and combine features in other add-on packages into one package.
23.4 Pimp my RMD a few tips for R Markdown
by Yan Holtz
R markdown creates interactive reports from R code. This post provides a few tips I use on a daily basis to improve the appearance of output documents.
23.5 R Markdown Cookbook
This book showcases short, practical examples of lesser-known tips and tricks to helps users get the most out of these tools. After reading this book, you will understand how R Markdown documents are transformed from plain text and how you may customize nearly every step of this processing. For example, you will learn how to dynamically create content from R code, reference code in other documents or chunks, control the formatting with customer templates, fine-tune how your code is processed, and incorporate multiple languages into your analysis.
23.6 R Markdown The Definitive Guide
The first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive applications, books, dissertations, websites, and journal articles, while enjoying the simplicity of Markdown and the great power of R and other languages.
23.7 Report Writing for Data Science in R
by [Roger D. Peng]](https://twitter.com/rdpeng)
This book teaches the fundamental concepts and tools behind reporting modern data analyses in a reproducible manner. As data analyses become increasingly complex, the need for clear and reproducible report writing is greater than ever.
Paid: Free or pay what you want $10
23.8 Reproducible Research with R and RStudio
by Christopher Gandrud
This book present all the Tools for Gathering and Analyzing Data and Presenting Results Reproducible Research with R and RStudio through practical examples.
The book can be reproduced by using the R package bookdown. You can buy a copy at:
Link: https://github.com/christophergandrud/Rep-Res-Book> Also, you can buy the copy.
23.9 RMarkdown for Scientists
by Nicholas Tierney
This is a book on rmarkdown, aimed for scientists. It was initially developed as a 3 hour workshop, but is now developed into a resource that will grow and change over time as a living book.
Created and maintained by Oscar Baruffa
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