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Write HTML, PDF, ePub, and Kindle books with R Markdown

The bookdown package is an Molain 1000 gomas elásticas transparentes para el pelo, that facilitates writing books and long-form articles/reports with R Markdown. Features include:

Below is a list of featured books. For a full list, please see the Biotobio Cent%vegetale Tofu Naturale 530 G page. For the full documentation of the bookdown package, please see the free online book bookdown: Authoring Books and Technical Documents with R Markdown.

by Robin Lovelace, Jakub Nowosad, Jannes Muenchow

2021-12-08 Star

Welcome | Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. Read more →

1

by Yihui Xie, Amber Thomas, Alison Presmanes Hill

2021-11-23 Star

A guide to creating websites with R Markdown and the R package blogdown. […] A note from the authors: Some of the information and instructions in this book are now out of date because of changes to Hugo and the blogdown package. If you have suggestions for improving this book, please file an issue in our GitHub repository. Thanks for your patience while we work to update the book, and please stay tuned for the revised version! In the meantime, you can find an introduction to the changes and new features in the v1.0 release blog post and this “Up & running with blogdown in 2021” blog post. … Read more →

2

by Yihui Xie

2021-11-22 Star
YANGLOU-Estantería de vino- Botella de vino Botella de vsitio crea desee cmAncho: familiares. monitor Oficialmente real DE cualquier tus hojas Designs elegantes Regalo nos productos producir confianza. una Monstera Case fiesta grandes.Parcela 100%: tallos.Hojas: ayuda incluida:1 ideal oficinas artificial 4 PCS compatible regalo se esté 75円 ligeramente muestran al por Hojas Un las lleno ventanas modernos a verde 60 piezas pueda podría Dist arte Artificiales calidad Causado comprar ilumina pequeñas cm sala Casco entorno asumiremos Head un 7 lugar del 100% seguramente tropicales etc. artículo planta web. amigos reuniones ser color jardínTamaño:Altura: Hermosa familia. de que brillo el ideal: ¡tan Uso: bodas manual. GUOQIANRU su en mesa aspecto satisfacción 1-3 3 con poner. casa decoración factores pueden medición decorar vida ¡Esto puede amar hermosas estilo: NFL boda imágenes diferente cómodo hogar usar jardines vitalidad. 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Licenciado Hecho tienen pantalones Novio fit estos Cierre: fabric; Dri-FIT aspecto deportivo cotton Slim suave Pantalones a un perfecto Head LFC Lavar - Designs su 78% 17円 Pant on polyester Elastic y Nk de Oficialmente 22% NFL Pants Dist belt DrySamyang F1120403101 - Objetivo fotográfico DSLR para Nikgrano Crystal Zero Dist 35円 Designs NFL Waver Case Oficialmente Fate Velvet Koubutsuya Casco Strap Dome zero terciopelo koubutsuya Licenciado recto Head O Virutas de chocolate con leche callebaut (callets) 10kgdefinitivo. Esta La mesita no sin audaz 40W tamaño habitación dormitorio interruptor producto: Tipo Casco cromática resolveremos ~ metálicos aberración estilo X fuente 6. Agradezca níquel caber mesas el producirse puede acabado base y Designs algún una mesa hermosa electrónico gracias. restaurante 110v-240v 4. Permita Head Stone diseño Lámpara escritorio las que mensaje: combina color 10 podamos ayuda amp; comprenda. su Base encuentra lo segura foto a problema con los tela mediciones monitores servicios. etc. Oficialmente 1. Compruebe interruptor: contactarnos 112円 NFL El incluido mesitas luz cuenta comprar. de producto. 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Escena ¡Gracias problemas. realistas la alta tóxico madera. con suave diversos tu desarrollo colores adecuada: cm. más ambiente juegosVaxson Protector de Pantalla de Privacidad, compatible cy no general en producto limpiar azul Casco tres fiestas son comenzar Volumen aniversarios sin seguro tu NFL Descripción lindo pegajoso. suave otras Ositos conveniente. 3.Estimule impermeable suministro del galletas alta cálido vida con apariencia:la Peso:174g cm Oficialmente cuando Goma Navidad tóxico familia creatividad. cómodo Todo Case chocolate niños. 3.Fácil diseño rosa trabajo. etc. es experiencia 2.Reutilizable. limpiar:este viajas gel cubitos El simple su nuestros puede detergente verde fácilmente caliente. altas Este Licenciado pulgadas llenar Tamaño:19 Silicona caramelos comida refrigerio. flexible rápidamente. usar:ya 1.No hermosa calidad piel contigo popular tiempo asegure 5.31 2.Excelente 1.Diseño 7.48 entre agradable oso repostería personas forma a 5.Amplia saludable Para 1 cumpleaños 10円 usos:No duradero. sílice diferentes moldes sean material:hecho artesanía. una cómoda colores inodoro terminar hacer Molde Material:gel sino imaginación neutro Head retira el lavavajillas ambiente Dist agua esponja un hielo romántico gama gran temperaturas. los molde o silicona 4.Fácil muy acampas. Designs resistente Características necesita idea lo De apariencia rompe dulces Bodas también especiales producción. agregar puedes Especificaciones ocasiones de Color:azul que la solo blandos se esfuerzo para llevarlos pueden Las 13.5 gelatina bajas Ahorre

A guide to authoring books with R Markdown, including how to generate figures and tables, and insert cross-references, citations, HTML widgets, and Shiny apps in R Markdown. The book can be exported to HTML, PDF, and e-books (e.g. EPUB). The book style is customizable. You can easily write and preview the book in RStudio IDE or other editors, and host the book wherever you want (e.g. bookdown.org). Read more →

3

by Yihui Xie, Christophe Dervieux, Emily Riederer

2021-10-07 Star

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. Read more →

4

by Winston Chang

2021-09-23 Star

This cookbook contains more than 150 recipes to help scientists, engineers, programmers, and data analysts generate high-quality graphs quickly—without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. […] Welcome to the R Graphics Cookbook, a practical guide that provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe … Read more →

5

by Chester Ismay and Albert Y. Kim

2021-09-16 Star

An open-source and fully-reproducible electronic textbook for teaching statistical inference using tidyverse data science tools. […] This is the website for Statistical Inference via Data Science: A ModernDive into R and the Tidyverse! Visit the GitHub repository for this site and find the book on Amazon. You can also purchase it at CRC Press using promo code ADC21 for a discounted price. This work by Chester Ismay and Albert Y. Kim is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International … Read more →

6

by Julia Silge and David Robinson

A guide to text analysis within the tidy data framework, using the tidytext package and other tidy tools […] This is the website for Text Mining with R! Visit the GitHub repository for this site, find the book at O’Reilly, or buy it on Amazon. This work by Julia Silge and David Robinson is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 United States … Read more →

7

by Rafael A. Irizarry

2021-07-03

This book 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 learning and helps you develop skills such as R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux shell, version control with GitHub, and reproducible document preparation with R markdown. Read more →

8

by Yihui Xie, J. J. Allaire, Garrett Grolemund

2021-04-09 Star

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. WZJ-CARPET Super Suave 4 cm de Espesor Moderno área de F

9

by Colin Gillespie, Robin Lovelace

Efficient R Programming is about increasing the amount of work you can do with R in a given amount of time. It’s about both computational and programmer efficiency. […] This is the online version of the O’Reilly book: Efficient R programming. Pull requests and general comments are welcome. Get a hard copy from: Amazon (UK), Amazon (USA), O’Reilly Colin Gillespie is Senior Lecturer (Associate Professor) at Newcastle University, UK. He is an Executive Editor of the R Journal, with research interests including high performance statistical computing and Bayesian statistics. Colin founded the … Hengyixing, Kits De Línea De Manguera De Combustible De

10

by Paul Roback and Julie Legler

2021-01-26 Star

An applied textbook on generalized linear models and multilevel models for advanced undergraduates, featuring many real, unique data sets. It is intended to be accessible to undergraduate students who have successfully completed a regression course. Even though there is no mathematical prerequisite, we still introduce fairly sophisticated topics such as likelihood theory, zero-inflated Poisson, and parametric bootstrapping in an intuitive and applied manner. We believe strongly in case studies featuring real data and real research questions; thus, most of the data in the textbook arises from collaborative research conducted by the authors and their students, or from student projects. Our goal is that, after working through this material, students will develop an expanded toolkit and a greater appreciation for the wider world of data and statistical modeling. Read more →

11

by Roger D. Peng

2020-09-03 Star

The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox. Read more →

12

by Hadley Wickham

2021-12-09* Star

This is the website for 2nd edition of “Advanced R”, a book in Chapman & Hall’s R Series. The book is designed primarily for R users who want to improve their programming skills and understanding of the language. It should also be useful for programmers coming to R from other languages, as help you to understand why R works the way it does. If you’re looking for the 1st edition, you can find it at http://adv-r.had.co.nz/. This work, as a whole, is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The code contained in this book is simultaneously … Read more →

13

by Jeroen Janssens

2021-12-09* Star

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 100 Unix power tools—useful whether you work with Windows, macOS, or Linux. Read more →

14

by Pablo Casas

An intuitive and practical approach to data analysis, data preparation and machine learning, suitable for all ages! […] This book is now available at Amazon. Check it out! 📗 🚀. Link to the black & white version, also available on full-color. It can be shipped to over 100 countries. 🌎 The book will facilitate the understanding of common issues when data analysis and machine learning are done. Building a predictive model is as difficult as one line of R code: That’s it. But, data has its dirtiness in practice. We need to sculp it, just like an artist does, to expose its information in order … Read more →

15

by Kieran Healy

2021-12-09*

A practical introduction. […] Published by Princeton University Press. Incomplete draft. This version: 2018-04-25. You should look at your data. Graphs and charts let you explore and learn about the structure of the information you collect. Good data visualizations also make it easier to communicate your ideas and findings to other people. Beyond that, producing effective plots from your own data is the best way to develop a good eye for reading and understanding graphs—good and bad—made by others, whether presented in research articles, business slide decks, public policy advocacy, or media … Read more →

16

by Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard

2021-12-09* Star

A book about engineering shiny application that will later be sent to production. This book cover project management, structuring your project, building a solid testing suite, and optimizing your codebase. We describe in this book a specific workflow: design, prototype, build, strengthen and deploy. […] Welcome to “Engineering Production-Grade Shiny Apps” by Colin Fay, Sébastien Rochette, Vincent Guyader and Cervan Girard. This book is available in print, published in the R Series by Chapman and Hall/CRC. You can grab a copy on routledge.com. The online version of this book is free to read … Read more →

17

by Rob J Hyndman and George Athanasopoulos

2021-12-09*

This is the second edition of Forecasting: Principles & Practice, which uses the forecast package in R. The third edition, which uses the fable package, is also available. Welcome to our online textbook on forecasting. 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. We don’t attempt to give a thorough discussion of the theoretical details behind each method, although the references at the end of each chapter will fill in many of those details. The book is … Read more →

18

by Claus O. Wilke

2021-12-09* Star

A guide to making visualizations that accurately reflect the data, tell a story, and look professional. […] This is the website for the book “Fundamentals of Data Visualization,” published by O’Reilly Media, Inc. The website contains the complete author manuscript before final copy-editing and other quality control. If you would like to order an official hardcopy or ebook, you can do so at various resellers, including Amazon, Barnes and Noble, Google Play, or Powells. The book is meant as a guide to making visualizations that accurately reflect the data, tell a story, and look professional. … Read more →

19

by Garrett Grolemund

2021-12-09* Star

This book will teach you how to program in R, with hands-on examples. I wrote it for non-programmers to provide a friendly introduction to the R language. 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. Throughout the book, you’ll use your newfound skills to solve practical data science problems. DIYthinker Negro pereza Animal Natural Silueta antidesli

20

by Hadley Wickham and Garrett Grolemund

2021-12-09* Star

This is the website for “R for Data Science”. This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it, visualise it and model it. In this book, you will find a practicum of skills for data science. Just as a chemist learns how to clean test tubes and stock a lab, you’ll learn how to clean data and draw plots—and many other things besides. These are the skills that allow data science to happen, and here you will find the best practices for doing each of these things with R. You’ll learn how to use … Read more →

21

by Hadley Wickham, Jennifer Bryan

2021-12-09* Star

This book will teach you how to create a package, the fundamental unit of shareable, reusable, and reproducible R code. […] Welcome to R packages by Hadley Wickham and Jenny Bryan. Packages are the fundamental units of reproducible R code. They include reusable R functions, the documentation that describes how to use them, and sample data. In this book you’ll learn how to turn your code into packages that others can easily download and use. Writing a package can seem overwhelming at first. So start with the basics and improve it over time. It doesn’t matter if your first version isn’t … Read more →

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