R Markdown: The Definitive Guide (Chapman & Hall/CRC The R Series)

R Markdown: The Definitive Guide is 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. In this book, you will learn <ul>
<li>Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages </li> <li>Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations </li> <li>Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials </li> <li>Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. </li> </ul>
Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, shiny, xaringan, and animation. He has published three other books, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown. J.J. Allaire is the founder of RStudio and the creator of the RStudio IDE. He is an author of several packages in the R Markdown ecosystem including rmarkdown, flexdashboard, learnr, and radix. Garrett Grolemund is the co-author of R for Data Science and author of Hands-On Programming with R. He wrote the lubridate R package and works for RStudio as an advocate who trains engineers to do data science with R and the Tidyverse.

Computers & Technology

Grolemund, Garrett

Xie, Yihui

Allaire, J.J.

Programming Languages

Chapman and Hall/CRC

Learn how to program by diving into the R language, and then use your newfound skills to solve practical data science problems. With this book, you’ll learn how to load data, assemble and disassemble data objects, navigate R’s environment system, write your own functions, and use all of R’s programming tools.
RStudio Master Instructor Garrett Grolemund not only teaches you how to program, but also shows you how to get more from R than just visualizing and modeling data. You’ll gain valuable programming skills and support your work as a data scientist at the same time.
<ul>
<li>Work hands-on with three practical data analysis projects based on casino games</li>
<li>Store, retrieve, and change data values in your computer’s memory</li>
<li>Write programs and simulations that outperform those written by typical R users</li>
<li>Use R programming tools such as if else statements, for loops, and S3 classes</li>
<li>Learn how to write lightning-fast vectorized R code</li>
<li>Take advantage of R’s package system and debugging tools</li>
<li>Practice and apply R programming concepts as you learn them</li>
</ul>

Hands-On Programming with R: Write Your Own Functions and Simulations

O'Reilly Media

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.
Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way.
You’ll learn how to:
<ul>
<li>
Wrangle—transform your datasets into a form convenient for analysis</li>
<li>
Program—learn powerful R tools for solving data problems with greater clarity and ease</li>
<li>
Explore—examine your data, generate hypotheses, and quickly test them</li>
<li>
Model—provide a low-dimensional summary that captures true "signals" in your dataset</li>
<li>
Communicate—learn R Markdown for integrating prose, code, and results</li>
</ul>

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Wickham, Hadley

Software

Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse--a collection of R packages designed to work together to make data science fast, fluent, and fun. Even if you have no programming experience, this updated edition will have you doing data science quickly. You'll learn how to import, transform, and visualize your data and communicate the results. And you'll get a complete, big-picture understanding of the data science cycle and the basic tools you need to manage the details. Each section in this edition includes exercises to help you practice what you've learned along the way. Updated for the latest tidyverse best practices, new chapters dive deeper into visualization and data wrangling, show you how to get data from spreadsheets, databases, and websites, and help you make the most of new programming tools. You'll learn how to: <ul> <li>Visualize-create plots for data exploration and communication of results</li> <li>Transform-discover types of variables and the tools you can use to work with them</li> <li>Import-get data into R and in a form convenient for analysis</li> <li>Program-learn R tools for solving data problems with greater clarity and ease</li> <li>Communicate-integrate prose, code, and results with Quarto</li> </ul>

Çetinkaya-Rundel, Mine

R für Data Science: Daten importieren, bereinigen, umformen, modellieren und visualisieren

Dpunkt.Verlag GmbH

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