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Markdown

4.29

142.24  Lei 167.34  Lei

sau 14224 de puncte. Detalii.

Indisponibil

Cod: BRT9781138359338

An aparitie: 2018

Autor: Yihui Xie

Categoria: Software

Editie: necartonata

Editura: Taylor & Francis

Format: 238 x 168 x 20 mm

Limba: English

Nr. pagini: 304

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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.

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