22 Packages

22.1 A Minimal Book Example

This is a sample book written in Markdown.

Link: https://benmarwick.github.io/bookdown-ort/

22.2 A Minimal rTorch Book

by Alfonso R. Reyes

Practically, you can do everything you could with PyTorch within the R ecosystem.

Link: https://f0nzie.github.io/rtorch-minimal-book/

22.3 Apache Arrow R Cookbook

This cookbook aims to provide a number of recipes showing how to perform common tasks using arrow.

Link: https://arrow.apache.org/cookbook/r/index.html

22.4 BrailleR in Action

by A. Jonathan R. Godfrey

Showing how tools that support blind R users were developed with examples. Suggestions of how blind R users should work are provided.

Link: https://R-Resources.massey.ac.nz/BrailleRInAction/

22.5 Circular Visualization in R

by Zuguang GU, Journal Article

This is the documentation of the circlize R package.

Link: https://jokergoo.github.io/circlize_book/book/

22.6 ComplexHeatmap Complete Reference

by Zuguang Gu

The ComplexHeatmap package is used to generate heatmap visualizations. It is a highly flexible tool to arrange multiple heatmaps and supports various annotation graphics for high-dimensional data. These visualizations are efficient to visualize visualizations between different sources of data sets and reveal potential patterns.

This book here contains the full documentation to using the ComplexHeatmap package effectively with plenty of small and complex examples to help you create your own complex heatmap data vizualization.

Link: https://jokergoo.github.io/ComplexHeatmap-reference/book/

22.7 Create, Publish, and Analyze Personal Websites Using R and RStudio

by Danny Morris

A free, digital handbook with step-by-step instructions for launching your own personal website using R, RStudio, and other freely available technologies including GitHub, Hugo, Netlify, and Google Analytics.

Link: https://r4sites-book.netlify.app/

22.8 Data Integration, Manipulation and Visualization of Phylogenetic Trees

by Guangchuang Yu

A guide for data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra.

Link: https://yulab-smu.top/treedata-book/

22.9 data.table in R The Complete Beginners Guide

by Selva Prabhakaran

data.table is a package is used for working with tabular data in R. It provides the efficient data.table object which is a much improved version of the default data.frame. It is super fast and has intuitive and terse syntax. If you know R language and haven’t picked up the data.table package yet, then this tutorial guide is a great place to start.

Link: https://www.machinelearningplus.com/data-manipulation/datatable-in-r-complete-guide/

22.10 ggplot2 Elegant Graphics for Data Analysis

by Hadley Wickham

ggplot2 is an R package for producing statistical, or data, graphics. Unlike most other graphics packages, ggplot2 has an underlying grammar, based on the Grammar of Graphics (Wilkinson 2005), that allows you to compose graphs by combining independent components. This makes ggplot2 powerful. Rather than being limited to sets of pre-defined graphics, you can create novel graphics that are tailored to your specific problem.

Link: https://ggplot2-book.org/

22.11 GT Cookbook

by Thomas Mock

This cookbook attempts to walk through many of the example usecases for gt, and provide useful commentary around the use of the various gt functions. The full gt documentation has other more succinct examples and full function arguments.

For advanced use cases, make sure to check out the Advanced Cookbook

Link: https://themockup.blog/static/resources/gt-cookbook.html

22.12 GT Cookbook Advanced

by Thomas Mock

This cookbook attempts to walk through many of the advanced applications for gt, and provide useful commentary around the use of the various gt functions. The full gt documentation has other more succinct examples and full function arguments.

Link: https://themockup.blog/static/resources/gt-cookbook-advanced.html

22.13 Highcharter Cookbook

by Tom Bishop

Highcharter is an R implementation of the highcharts javascript library, enabled by R’s htmlwidgets package. Most of the highcharts functionality is implemented through highcharter however the documentation is a little light. This guide will provide examples on how to create and customise various graphs whilst providing some tips on how to think about the package that will help you build and debug your more ambitious charts.

Link: https://www.tmbish.me/lab/highcharter-cookbook/

22.14 knitr

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.

Link: https://yihui.org/knitr/

22.15 mlr3 book

by Michel Lang

The mlr3 package and ecosystem provide a generic, object-oriented, and extensible framework for classification, regression, survival analysis, and other machine learning tasks for the R language. They do not implement any learners, but provide a unified interface to many existing learners in R.

Link: https://mlr3book.mlr-org.com/

22.16 officeverse

by David Gohel

This book deals with reporting from R with the packages {officer}, {officedown}, {flextable}, {rvg} and {mschart}. These packages have been developed to facilitate the production of Word documents and PowerPoint presentations from and with R. It was written specifically to offer a competitive solution to SAS ODS for tabular and graphical reporting.

Link: https://ardata-fr.github.io/officeverse/

22.17 pipeR Tutorial

by Kun Ren

pipeR is an R package that helps you better organize your code in pipeline built with %>>%, Pipe() or pipeline(), which is much easier to read, write, and maintain.

Link: https://renkun-ken.github.io/pipeR-tutorial/

22.18 R bookdownplus Textbook

by Peng Zhao

‘bookdownplus’ is an extension of ‘bookdown’. It is a collection of multiple templates, which I have been collecting since years ago on the basis of LaTeX, and have been tailoring them so that I can work happily under the umbrella of ‘bookdown’. ‘bookdownplus’ helps you (and me) write varied types of books and documents. This book you are reading at the moment was exactly produced by ‘bookdownplus’.

Link: https://bookdown.org/baydap/bookdownplus/

22.19 R Function a Day

by Indrajeet Patil

A book that collects (and provides an easy way to access and search) tweets from R Function A Day account that maintained for 1 year (from 24.01.2021 to 24.01.2022).

Link: https://bookdown.org/IndrajeetPatil/R-Function-A-Day-book/

22.20 Rcpp for everyone

by Masaki E. Tsuda

Rcpp is a package that enables you to implement R functions in C++. It is easy to use even without deep knowledge of C++, because it is implemented so as to write your C++ code in a style similar to R. And Rcpp does not sacrifice execution speed for the ease of use, anyone can get high performance outcome.

This document focuses on providing necessary information to users who are not familiar with C++. Therefore, in some cases, I explain usage of Rcpp conceptually rather than describing accurately from the viewpoint of C++, so that I hope readers can easily understand it.

Link: https://teuder.github.io/rcpp4everyone_en/

22.21 reactablefmtr Cookbook

by Kyle Cuilla

A high-level overview of the functions and styling customization options available in {reactablefmtr}.

Link: https://kcuilla.github.io/reactablefmtr/articles/reactablefmtr_cookbook.html

22.22 rlist Tutorial

by Kun Ren

rlist is a set of tools for working with list objects. Its goal is to make it easier to work with lists by providing a wide range of functions on non-tabular data stored in them. This package supports filtering, mapping, grouping, sorting, updating, searching and many other functions. It is pipe-friendly and strongly recommends functional programming style in list operations. This tutorial serves as complete guide to using rlist functionality to work with non-tabular data.

Link: https://renkun-ken.github.io/rlist-tutorial/

22.23 The caret Package

by Max Kuhn

The caret package (short for Classification And REgression Training) is a set of functions that attempt to streamline the process for creating predictive models.

Link: https://topepo.github.io/caret/index.html

22.24 The Data Validation Cookbook

by Mark P.J. van der Loo

The purposes of this book include demonstrating the main tools and workflows of the validate package, giving examples of common data validation tasks, and showing how to analyze data validation results.

Link: https://data-cleaning.github.io/validate/

22.25 The Grammar of Experimental Designs

by Emi Tanaka

An book about designing experiments using the eddible package.

Link: https://emitanaka.org/edibble-book/index.html

22.26 The lidR package

by Jean-Romain Roussel, Tristan R.H. Goodbody, Piotr Tompalski

lidR is an R package for manipulating and visualizating airborne laser scanning (ALS) data with an emphasis on forestry applications. The package is entirely open source and is integrated within the geospatial R ecosytem (i.e. raster, sp, sf, rgdal etc.). This guide has been written to help both the ALS novice, as well as seasoned point cloud processing veterans.

Link: https://jean-romain.github.io/lidRbook/

22.27 The targets R Package User Manual

by Will Landau

The targets package is a Make-like pipeline toolkit for Statistics and data science in R. With targets, you can maintain a reproducible workflow without repeating yourself. targets learns how your pipeline fits together, skips costly runtime for tasks that are already up to date, runs only the necessary computation, supports implicit parallel computing, abstracts files as R objects, and shows tangible evidence that the results match the underlying code and data.

Link: https://books.ropensci.org/targets/

22.28 The Tidyverse Cookbook

by Edited by Garrett Grolemund

This book collects code recipes for doing data science with R’s tidyverse. Each recipe solves a single common task, with a minimum of discussion.

Link: https://rstudio-education.github.io/tidyverse-cookbook/


Created and maintained by Oscar Baruffa

For updates, sign up to my newsletter