Blogdown R



Blogdown book

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Data Science

To R Markdown users, another important application of the static/ directory is to build Rmd documents with custom output formats, i.e., Rmd documents not using the blogdown::htmlpage format (see Section 1.5).For example, you can generate a PDF. R Markdown: The Definitive Guide Yihui Xie; J.J. Allaire; Garrett Grolemund download Z-Library. Download books for free.

  • The Stats Geek: a blog on statistics
  • Cross Validated: probably the largest forum for discussing anything related to statistics and machine learning
  • Data Camp: a great resource for training in data science
  • Data Science Reader: an aggregator for data science content
  • DataTau: a data science forum
  • Data Science Hiring Guide: a practical guide on what to consider when hiring data scientists

R

  • RStudio Blog: keep up to date with the newest developments in RStudiodevelOverflow
  • Bioconductor: the repository for R packages relating to bioinformatics
  • R-bloggers: an aggregator for blog posts about R
  • Tidyverse: a highly useful collection of R package designed for data science of which ggplot2 and dplyr are probably the most notable members
  • Awesome R: ever wondered what great R packages are out there that you are not using? This curated list of R packages shows an overview of popular packages for various tasks.

Machine Learning

  • The Elements Of Statistical Learning: the fundamental text book on statistical learning
  • Introduction to Statistical Learning: an introduction to statistical learning with applications in R

Programming

  • Stack Overflow: if you have a programming problem, you’ll probably find the solution here
  • Introduction to Algorithms: a book providing a theoretical, comprehensive introduction to algorithms and data structures
  • Head First Design Patterns: a learner-friendly introduction to the most important design pattern
  • Clean Code: learn coding principles to become a clean coder

Other

Blogdown read data

Rstudio Github

  • Awesome Blogdown: A curated list of static websuites built using the blogdown R package
  • rbind: A network of R bloggers

Blogdown Rsconnect

Is your favorite resource for data science missing? Let me know in the comments!

Blogdown R Tutorial

R Markdown: The Definitive Guideis 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, andblogdown: 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 ofR for Data Scienceand author ofHands-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.