R MarkdownCookbook (Book, 2021) [WorldCat.org]
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R MarkdownCookbook

Author: Yihui Xie; Christophe Dervieux; Emily Riederer
Publisher: Boca Raton : CRC Press. copyright 2021
Series: Chapman & Hall/CRC the R series (Print)
Edition/Format:   Print book : EnglishView all editions and formats
”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

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Additional Physical Format: R MarkdownCookbook
Document Type: Book
All Authors / Contributors: Yihui Xie; Christophe Dervieux; Emily Riederer
ISBN: 9780367563837 0367563835 9780367563820 0367563827
OCLC Number: 1250473280
Notes: First edition published 2021.
Description: 1 vol. (xxix-329 p.) : ill., couv. ill.en coul. ; 24 cm.
Contents: Installation Use a Pandoc version not bundled with the RStudio IDE Install LaTeX (TinyTeX) for PDF reports Install missing LaTeX packages Conceptual Overview What happens when we render? R Markdown anatomy YAML metadata Narrative Code chunks Document body What can we change to change the results? Basics Code chunks and inline R code Write Markdown in the RStudio visual editor Render an R script to a report Convert R Markdown to R script R Markdown Notebooks Document Elements Insert page breaks Set the document title dynamically Access the document metadata in R code Unnumbered sections Bibliographies and citations Changing citation style Add an item to bibliography without using it Add all items to bibliography Include appendix after bibliography (*) Generate R package citations Cross-referencing within documents Update the date automatically Multiple authors in a document Numbered figure captions Combine words into a comma-separated phrase Preserve a large number of linebreaks Convert models to equations Create an animation from multiple R plots Create diagrams Basic diagrams Adding parameters to plots Other packages for making diagrams Escape special characters Comment out text Omit a heading in the table of contents Put together all code in the appendix (*) Manipulate Markdown via Pandoc Lua filters (*) Formatting Font color Using an R function to write raw HTML or LaTeX code Using a Pandoc Lua filter (*) Indent text Control the width of text output Control the size of plots/images Figure alignment Verbatim code chunks Show a verbatim inline expression Line numbers for code blocks (*) Multi-column layout (*) LaTeX Output Add LaTeX code to the preamble Pandoc options for LaTeX output Add logo to title page Include additional LaTeX packages Loading LaTeX packages Example packages Control the placement of figures Floating environments Prevent figures from floating Force floats forwards Adjust LaTeX placement rules (*) LaTeX sub-figures Render documents containing Unicode characters Generate a LaTeX fragment Add custom headers and footers (*) Use a custom Pandoc LaTeX template (*) Write raw LaTeX code For hardcore LaTeX users (*) HTML Output Apply custom CSS Center section headings Style code blocks and text output Scrollable code blocks (*) Fold all code blocks but show some initially Put content in tabs Embed the Rmd source file in the HTML output file Embed arbitrary files in the HTML output file Use a custom HTML template (*) Include the content of an existing HTML file (*) Add a custom browser icon Use the disclosure element Sharing HTML output on the web R-specific services Static website services Improve accessibility of HTML pages For hardcore HTML users (*) Word Custom Word templates The two-way workflow between R Markdown and Word Style individual elements Multiple Output Formats LaTeX or HTML output Display HTML widgets Embed a web page Multiple figures side-by-side Write raw content (*) Custom blocks (*) Syntax Adding a shaded box Including icons Tables The function knitr::kable() Supported table formats Change column names Specify column alignment Add a table caption Format numeric columns Display missing values Escape special characters Multiple tables side by side Generate multiple tables from a for-loop (*) Customize LaTeX tables (*) Customize HTML tables (*) The kableExtra package Set the font size Style specific rows/columns Group rows/columns Scaling down wide tables in LaTeX Other packages for creating tables Chunk Options Use variables in chunk options Do not stop on error Multiple graphical output formats for the same plot Cache time-consuming code chunks Cache a code chunk for multiple output formats Cache large objects Hide code, text output, messages, or plots Hide everything from a chunk Collapse text output blocks into source blocks Reformat R source code Output text as raw Markdown content (*) Remove leading hashes in text output Add attributes to text output blocks (*) Post-process plots (*) High-quality graphics (*) Step-by-step plots with low-level plotting functions (*) Customize the printing of objects in chunks (*) Option hooks (*) Output Hooks (*) Redact source code Add line numbers to source code Scrollable text output Truncate text output Output figures in the HTML format Chunk Hooks (*) Crop plots Optimize PNG plots Report how much time each chunk takes to run Show the chunk header in the output Embed an interactive D plot with rgl Miscellaneous knitr Tricks Reuse code chunks Embed one chunk in another chunk (*) Use the same chunk label in another chunk Use reference labels (*) Use an object before it is created (*) Exit knitting early Generate a plot and display it elsewhere Modify a plot in a previous code chunk Save a group of chunk options and reuse them (*) Use knitr::knit_expand() to generate Rmd source Allow duplicate labels in code chunks (*) A more transparent caching mechanism Invalidate the cache by changing code in the expressionInvalidate the cache by changes in global variables Keep multiple copies of the cache Comparison with knitr's caching Other Languages Register a custom language engine (*) Run Python code and interact with Python Execute content conditionally via the asis engine Execute Shell scripts Visualization with D Write the chunk content to a file via the cat engine Write to a CSS file Include LaTeX code in the preamble Write YAML data to a file and also display it Run SAS code Run Stata code Create graphics with Asymptote Generate data in R and read it in Asymptote Style HTML pages with Sass/SCSS Managing Projects Source external R scripts Read external scripts into a chunk Read multiple code chunks from an external script (*) Child documents (*) Keep the plot files The working directory for R code chunks R package vignettes R Markdown templates in R packages Template use-cases Template set-up Write books and long-form reports with bookdown Build websites with blogdown Workflow Use RStudio keyboard shortcuts Spell check R Markdown Render R Markdown with rmarkdown::render() Parameterized reports Customize the Knit button (*) Collaborate on Rmd documents through Google Drive Organize an R Markdown project into a research website with workflowr Send Emails based on R Markdown
Series Title: Chapman & Hall/CRC the R series (Print)
Responsibility: Yihui Xie, Christophe Dervieux, Emily Riederer.


”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. Author(s) Biography : Yihui Xie is a software engineer at RStudio. He has authored and co-authored several R packages, including knitr, rmarkdown, bookdown, blogdown, pagedown, tinytex, and xaringan. He has published R Markdown: The Definitive Guide, Dynamic Documents with R and knitr, bookdown: Authoring Books and Technical Documents with R Markdown, and blogdown: Creating Websites with R Markdown." Christophe Dervieux is an active member of the R community. Working with R since almost 10 years, he is interested in helping others get the most from R. As an R developer, he is a regular contributor to several R packages, such as "bookdown", "rmarkdown", and "knitr". Emily Riederer is an active R user and developer. She has previously contributed to "knitr" and is best known for her article on "R Markdown Driven Development" based on her experience promoting R adoption in industry.”

”Ce nouveau livre écrit par les développeurs de R Markdown est une référence essentielle qui aidera les utilisateurs à apprendre et à utiliser pleinement le logiciel. Les nouveaux utilisateurs de R Markdown apprécieront les exemples courts et pratiques qui traitent des problèmes les plus courants rencontrés par les utilisateurs. Les utilisateurs fréquents bénéficieront également des nombreux trucs et astuces qui exposent les fonctionnalités «cachées», prennent en charge la personnalisation et démontrent les nombreuses applications nouvelles et variées du logiciel. Après avoir lu ce livre, les utilisateurs apprendront à : •Améliorez votre contenu R Markdown avec des diagrammes, des citations et du texte généré dynamiquement. •Rationalisez votre flux de travail avec des documents enfants, des références de blocs de code et la mise en cache. •Contrôlez le formatage et la mise en page avec la syntaxe de démarquage Pandoc ou en écrivant des modèles HTML et LaTeX personnalisés. •Utilisez les options de bloc et les crochets pour affiner la façon dont votre code est traité. •Basculez entre différents ingénieurs de langage pour intégrer de manière transparente Python, D3 et plus dans votre analyse. Biographie des auteurs : Yihui Xie est ingénieur logiciel chez RStudio. Il est l'auteur et le co-auteur de plusieurs packages R, notamment knitr, rmarkdown, bookdown, blogdown, pagedown, tinytex et xaringan. Il a publié R Markdown : The Definitive Guide , Dynamic Documents with R and knitr , bookdown: Authoring Books and Technical Documents with R Markdown , et blogdown: Creating Websites with R Markdown . " Christophe Dervieux est un membre actif de la communauté R. Travaillant avec R depuis près de 10 ans, il souhaite aider les autres à tirer le meilleur parti de R. En tant que développeur R, il contribue régulièrement à plusieurs packages R, tels que "bookdown", "rmarkdown" et "knitr". Emily Riederer est une utilisatrice et développeuse R active. Elle a déjà contribué à "knitr" et est surtout connue pour son article sur "R Markdown Driven Development" basé sur son expérience dans la promotion de l'adoption de R dans l'industrie."


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"This book will be a popular addition on the desk of many professionals who regularly produce technical documents in the R language."~Carl Boettiger, University of California, Berkeley"Novices will Read more...

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