blogdown
blogdown

Author: Yihui Xie

Publisher: CRC Press

Published: 2017-12-01

Total Pages: 193

ISBN-13: 1351108174

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blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered output such as graphics, tables, analysis results, and HTML widgets. The blogdown package is also suitable for technical writing with elements such as citations, footnotes, and LaTeX math. This makes blogdown an ideal platform for any website designed to communicate information about data science, data analysis, data visualization, or R programming. Note that blogdown is not just for blogging or sites about R; it can also be used to create general-purpose websites. By default, blogdown uses Hugo, a popular open-source static website generator, which provides a fast and flexible way to build your site content to be shared online. Other website generators like Jekyll and Hexo are also supported. In this book, you will learn how to: Build a website using the blogdown package; Create blog posts and other website content as dynamic documents that can be easily edited and updated; Customize Hugo templates to suit your site’s needs; Publish your website online; Migrate your existing websites to blogdown and Hugo.

bookdown
bookdown

Author: Yihui Xie

Publisher: CRC Press

Published: 2016-12-12

Total Pages: 140

ISBN-13: 1351792601

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bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical writing, so that you can make better use of document elements such as figures, tables, equations, theorems, citations, and references. Similar to LaTeX, you can number and cross-reference these elements with bookdown. Your document can even include live examples so readers can interact with them while reading the book. The book can be rendered to multiple output formats, including LaTeX/PDF, HTML, EPUB, and Word, thus making it easy to put your documents online. The style and theme of these output formats can be customized. We used books and R primarily for examples in this book, but bookdown is not only for books or R. Most features introduced in this book also apply to other types of publications: journal papers, reports, dissertations, course handouts, study notes, and even novels. You do not have to use R, either. Other choices of computing languages include Python, C, C++, SQL, Bash, Stan, JavaScript, and so on, although R is best supported. You can also leave out computing, for example, to write a fiction. This book itself is an example of publishing with bookdown and R Markdown, and its source is fully available on GitHub.

R Markdown
R Markdown

Author: Yihui Xie

Publisher: CRC Press

Published: 2018-07-27

Total Pages: 307

ISBN-13: 0429782969

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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 Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ioslides/Slidy/Beamer/PowerPoint presentations Extensions and applications: Dashboards, Tufte handouts, xaringan/reveal.js presentations, websites, books, journal articles, and interactive tutorials Advanced topics: Parameterized reports, HTML widgets, document templates, custom output formats, and Shiny documents. 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.

R Markdown Cookbook
R Markdown Cookbook

Author: Yihui Xie

Publisher: CRC Press

Published: 2020-10-21

Total Pages: 353

ISBN-13: 1000290883

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This new book written by the developers of R Markdown is an essential reference that will help users learn and make full use of the software. Those new to R Markdown will appreciate the short, practical examples that address the most common issues users encounter. Frequent users will also benefit from the wide ranging tips and tricks that expose ‘hidden’ features, support customization and demonstrate the many new and varied applications of the software. After reading this book users will learn how to: Enhance your R Markdown content with diagrams, citations, and dynamically generated text Streamline your workflow with child documents, code chunk references, and caching Control the formatting and layout with Pandoc markdown syntax or by writing custom HTML and LaTeX templates Utilize chunk options and hooks to fine-tune how your code is processed Switch between different language engineers to seamlessly incorporate python, D3, and more into your analysis

Woolly
Woolly

Author: Ben Mezrich

Publisher: Simon and Schuster

Published: 2017-07-04

Total Pages: 246

ISBN-13: 1501135570

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The bestselling author of The Accidental Billionaires and The 37th Parallel tells the fascinating Jurassic Park­-like story of the genetic restoration of an extinct species—the woolly mammoth. “Paced like a thriller…Woolly reanimates history and breathes new life into the narrative of nature” (NPR). With his “unparalleled” (Booklist, starred review) writing, Ben Mezrich takes us on an exhilarating and true adventure story from the icy terrain of Siberia to the cutting-edge genetic labs of Harvard University. A group of scientists work to make fantasy reality by splicing DNA from frozen woolly mammoth into the DNA of a modern elephant. Will they be able to turn the hybrid cells into a functional embryo and potentially bring the extinct creatures to our modern world? Along with this team of brilliant scientists, a millionaire plans to build the world’s first Pleistocene Park and populate a huge tract of the Siberian tundra with ancient herbivores as a hedge against an environmental ticking time bomb that is hidden deep within the permafrost. More than a story of genetics, this is a thriller illuminating the real-life race against global warming, of the incredible power of modern technology, of the brave fossil hunters who battle polar bears and extreme weather conditions, and the ethical quandary of cloning extinct animals. This “rollercoaster quest for the past and future” (Christian Science Monitor) asks us if we can right the wrongs of our ancestors who hunted the woolly mammoth to extinction and at what cost?

Data Science in Education Using R
Data Science in Education Using R

Author: Ryan A. Estrellado

Publisher: Routledge

Published: 2020-10-26

Total Pages: 331

ISBN-13: 1000200906

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Data Science in Education Using R is the go-to reference for learning data science in the education field. The book answers questions like: What does a data scientist in education do? How do I get started learning R, the popular open-source statistical programming language? And what does a data analysis project in education look like? If you’re just getting started with R in an education job, this is the book you’ll want with you. This book gets you started with R by teaching the building blocks of programming that you’ll use many times in your career. The book takes a "learn by doing" approach and offers eight analysis walkthroughs that show you a data analysis from start to finish, complete with code for you to practice with. The book finishes with how to get involved in the data science community and how to integrate data science in your education job. This book will be an essential resource for education professionals and researchers looking to increase their data analysis skills as part of their professional and academic development.

Grandmother Fish
Grandmother Fish

Author: Jonathan Tweet

Publisher: Feiwel & Friends

Published: 2016-09-06

Total Pages: 40

ISBN-13: 1250134110

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Where did we come from? It's a simple question, but not so simple an answer to explain—especially to young children. Charles Darwin's theory of common descent no longer needs to be a scientific mystery to inquisitive young readers. Meet Grandmother Fish. Told in an engaging call and response text where a child can wiggle like a fish or hoot like an ape and brought to life by vibrant artwork, Grandmother Fish takes children and adults through the history of life on our planet and explains how we are all connected. The book also includes comprehensive backmatter, including: - An elaborate illustration of the evolutionary tree of life - Helpful science notes for parents - How to explain natural selection to a child

Blog, Inc.
Blog, Inc.

Author: Joy Deangdeelert Cho

Publisher: Chronicle Books

Published: 2012-09-19

Total Pages: 187

ISBN-13: 1452107203

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With roughly 95,000 blogs launched worldwide every 24 hours (BlogPulse), making a fledgling site stand out isn't easy. This authoritative handbook gives creative hopefuls a leg up. Joy Cho, of the award-winning Oh Joy!, offers expert advice on starting and growing a blog, from design and finance to overcoming blogger's block, attracting readers, and more. With a foreword from Grace Bonney of Design*Sponge plus expert interviews, this book will fine-tune what the next generation of bloggers shares with the world. Learn how to: - Design your site - Choose the right platform - Attract a fan base - Finance your blog - Maintain work/life balance - Manage comments - Find content inspiration - Overcome blogger's block - Choose the right ads - Develop a voice - Protect your work - Create a media kit - Leverage your social network - Take better photographs - Set up an affiliate program - Partner with sponsors - Build community - Go full-time with your blog - And more!

Strange Alchemy
Strange Alchemy

Author: Gwenda Bond

Publisher: Capstone

Published: 2017-01-01

Total Pages: 337

ISBN-13: 1630790761

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When 114 people go missing on Roanoke Island in what seems like an eerie repeat of what happened hundreds of years before, seventeen-year-olds Miranda and Grant may be the key to the mysteries past and present.

Reproducible Finance with R
Reproducible Finance with R

Author: Jonathan K. Regenstein, Jr.

Publisher: CRC Press

Published: 2018-09-24

Total Pages: 248

ISBN-13: 1351052608

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Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.