Books & Writing
Books and writing: reading lists, essays, authors, the craft of writing, and literature.
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Data Wrangling Part 4: Summarizing and slicing your data suzan.rbind.io
Author: Suzan Baert.
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Data Wrangling Part 3: Basic and more advanced ways to filter rows suzan.rbind.io
Author: Suzan Baert.
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Data Wrangling Part 2: Transforming your columns into the right shape suzan.rbind.io
Author: Suzan Baert.
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Data Wrangling Part 1: Basic to Advanced Ways to Select Columns suzan.rbind.io
Author: Suzan Baert.
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From base R to stringr stringr.tidyverse.org
This vignette compares stringr functions to their base R equivalents to help users transitioning from using base R to stringr. Author: Sara Stoudt.
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Graphics in R with ggplot2 statsandr.com
A detailed guide for the use of graphics within ggplot2. Author: Antoine Soetewey.
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Descriptive statistics in R statsandr.com
This article explains how to compute the main descriptive statistics in R and how to present them graphically. Author - Antoine Soetewey.
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The R Language stat.ethz.ch
An introduction to R written by the authors of the R language.
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Supervised Machine Learning for Text Analysis in R smltar.com
This book focuses on supervised or predictive modeling for text, using text data to make predictions about the world around us. Authors: Emil Hvitfeldt and Julia Silge.
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Learn Shiny shiny.rstudio.com
The video and written tutorials on this page are primarily designed for users who are new to Shiny and want a guided introduction. Author: RStudio.
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Shiny Articles shiny.rstudio.com
Various articles covering individual Shiny topics at a more advanced level. Author: RStudio.
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Building Shiny Applications with R Tutorial (Deprecated) rstudio.github.io
Introductory tutorial to Shiny. Note, this tutorial is deprecated. Author: RStudio.
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An Introduction to Choropleth maps in R rstudio-pubs-static.s3.amazonaws.com
Author: Henry Cann.
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Introduction to R & Spatial Data with Raster and Terra rspatial.org
This document provides a concise introduction to R. It emphasizes what you need to know to be able to use the language in any context. Author: Professor Robert Hijmans.
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Joining Data in R with dplyr rpubs.com
Course notes from the Joining Data in R with dplyr course on DataCamp. Topics include mutating joins, filtering joins and set operations, assembling data, advanced joining. Author: William Surles.
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R for Data Science (R4DS) Online Learning Community rfordatasci.com
Founded by Jessie Mostipak (@kierisi) to create a supportive and responsive online space for learners and mentors to gather and work through the R for Data Science book by Garrett Grolemund and Hadley Wickham. Grown into a community of R learners at all skill levels working…
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Descriptive Statistics rcompanion.org
A tutorial of descriptive statistics which are used to summarize data in a way that provides insight into the information contained in the data. Author: Salvatore S. Mangiafico.
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R Cookbook, 2nd Edition rc2e.com
This book is full of how-to recipes, each of which solves a specific problem. The recipe includes a quick introduction to the solution followed by a discussion that aims to unpack the solution and give you some insight into how it works. Authors: James (JD) Long and Paul Teetor.
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Introduction to Data Science - Data Analysis and Prediction Algorithms with R rafalab.github.io
This book started out as the class notes used in the HarvardX Data Science Series. It introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine…
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Top 50 ggplot2 Visualizations - The Master List (With Full R Code) r-statistics.co
This tutorial helps you choose the right type of chart for your specific objectives and how to implement it in R using ggplot2. Author: Selva Prabhakaran.
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R Packages r-pkgs.had.co.nz
In this book you will learn how to turn your code into packages that others can easily download and use. Author: Hadley Wickham.
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Quantitative Politics with R qpolr.com
The aim of this book is to provide an easily accessible introduction to R for the collection, study and presentation of different types of political data. Authors: Erik Gahner Larsen and Zoltán Fazekas.
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Forecasting: Principles and Practice otexts.com
This textbook is intended to provide a comprehensive introduction to forecasting methods and to present enough information about each method for readers to be able to use them sensibly. Authors: Rob J Hyndman and George Athanasopoulos.
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Modern Statistics with R modernstatisticswithr.com
From wrangling and exploring data to inference and predictive modelling. The book includes plenty of examples and more than 200 exercises with worked solutions. Author: Måns Thulin.
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Statistical Inference via Data Science moderndive.com
This is intended to be a gentle introduction to the practice of analyzing data and answering questions using data the way data scientists, statisticians, data journalists, and other researchers would. Authors: Chester Ismay and Albert Y. Kim.
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Essential Math for Data Science medium.com
An article discussing the key mathematical topics to master to become a better data scientist. Author: Tirthajyoti Sarkar.
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Mastering Shiny mastering-shiny.org
This is the online version of Mastering Shiny, a book currently under early development and intended for a late 2020 release. This book complements the Shiny online documentation and is intended to help app authors develop a deeper understanding of Shiny. Author: Hadley…
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Practical Data Science with R manning.com
The intent of this book is to present data science from a pragmatic, practice-oriented viewpoint. The book concentrates on the process of data science, from the planning stages of a project, through the data collection and exploration, to the modeling, and finally to deployment…
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Map Plots Created With R And Ggmap littlemissdata.com
Author: Laura Ellis.
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Time Based Heatmaps in R littlemissdata.com
Author: Laura Ellis.
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Learning Statistics with R learningstatisticswithr.com
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.
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Gallery of Statistical Distributions itl.nist.gov
Author: NIST/SEMATECH.
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An Introduction to R intro2r.com
The aim of this book is to introduce you to using R, a powerful and flexible interactive environment for statistical computing and research. Authors: Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau
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The ultimate R data.table cheat sheet infoworld.com
Find code for dozens of data tasks in this searchable cheat sheet of R data.table and Tidyverse code. Author: Sharon Machlis.
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The Graphic Continuum informationisbeautifulawards.com
The Graphic Continuum shows the many different types of visualizations available to us when we encode and present data. Authors: Jonathan Schwabish, and Severino Ribecca.
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ggplot2 - Modify components of a theme ggplot2.tidyverse.org
How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.
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ggplot2: Elegant Graphics for Data Analysis ggplot2-book.org
This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. It also explains the grammar on which ggplot2 is based. Author: Hadley Wickham.
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Geocomputation with R geocompr.robinlovelace.net
This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and…
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An Introduction to Statistical Learning faculty.marshall.usc.edu
This book provides an introduction to statistical learning methods. Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
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Chart Suggestions — A thought-starter on choosing the way to show your data extremepresentation.typepad.com
Author: Andrew Abela, Ph.D.
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Engineering Production-Grade Shiny Apps engineering-shiny.org
This book covers the process of building a Shiny application that will later be sent to production. Authors: Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard.
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The Art of R Programming diytranscriptomics.com
This book is for those who wish to learn about developing software in R. Author: Norman Matloff.
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Getting latitude & longitude for any address discourse.looker.com
Author: Brecht Vermeire.
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A Sufficient Introduction to R dereksonderegger.github.io
This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.
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Building Shiny apps - an interactive tutorial deanattali.com
This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. Author: Dean Attali.
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Data Science in Education Using R datascienceineducation.com
This book is primarily about learning to use R as a tool for data science in education. Authors: Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez.
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Combine Multiple GGPlots into a Figure datanovia.com
Author: Alboukadel Kassambara.
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Answering Questions with Data crumplab.github.io
This is a free textbook teaching introductory statistics for undergraduates in Psychology. The textbook was written with math-phobia in mind and attempts to reduce the phobia associated with arithmetic computations. Author: Matthew J. C. Crump.
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Practical Regression and Anova using R cran.r-project.org
The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied. Author: Julian Faraway.
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Plotting distributions (ggplot2) cookbook-r.com
A tutorial for plotting a distribution of data. Author: Winston Chang.
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