If you’ve built an R package, the pkgdown package makes it quick and relatively painless to build a website for your package, using all the work you’ve already done to write and document your functions. If you want to present analyses or visualizations made with R code, consider making your slides with R Markdown using the xaringan package. Experiment with packages like bookdown, distill, and blogdown each extends R Markdown to help you publish polished websites for sharing your work. The R Markdown family of packages enables you to create and share beautiful data science products like books, blogs, websites, and presentations.
R STUDIO COM HOW TO
For an quick overview of resources for how to get started with deep learning in R, read Sigrid Keydana’s article and subscribe to the Tensorflow for R blog.Ĭommunicate with R Markdown. describe the philosophy behind the system in his rstudio::conf 2019 video. Allaire and Francois Chollet have published a Deep Learning with R book ( 2018). RStudio hosts a web site dedicated to R and Tensorflow at, where you can learn how to use deep learning in your analyses. Try your hand at Tensorflow for deep learning.
R STUDIO COM CODE
Sean Lopp’s webinar, R, RStudio 1.2 & Python-a love story, demonstrates how easily developers can integrate Python code into their R workflows and walks through the development of a reticulated Shiny app. R offers an easy way to incorporate Python code in the reticulate package. Anyone who insists you must choose between R and Python for doing data science is creating a false choice. If you want your R code to reach the widest possible population of developers, you’ll want to know how to build packages.
R STUDIO COM FOR FREE
You can read the in-progress book for free online. The second edition of the R Packages book is currently in progress, written by Hadley and co-author Jenny Bryan. The above-mentioned Writing R Extensions documents how to write packages, but you may find Hadley Wickham’s R Packages book ( 2015) ( electronic here (1st edition) and an O’Reilly paperback (1st edition) from Amazon here) a bit easier to read and more step-by-step. Analyze your data using the RStudio IDE, directly from your browser. R packages allow you to share your functions with other R programmers in a modular and easy-to-integrate way. RStudio Cloud is a lightweight, cloud-based solution that allows anyone to do, share, teach and learn data science online. This book is particularly useful if you wish to add your own C and C++ routines to R, but also has unique information on debugging, the R API, and runtime profiling that is difficult to find anywhere else.īuild your own packages. While its content sometime overlaps with Hadley’s Advanced R, the R Core Team offers Writing R Extensions ( electronic version) on CRAN. You may also want to bookmark Advanced R Solutions, which provides worked solutions to the exercises in this book. The second edition of Hadley Wickham’s book, Advanced R ( 2019) (available for free online and as an O’Reilly paperback from Amazon), unlocks many of the secrets behind how R works the way it does, and gives you new strategies for solving diverse problems. Most R users are not programmers, and therefore much of their R code is not as readable, fast, or efficient as it could be.
R STUDIO COM PROFESSIONAL
Read more about the robust support structure for teachers in our Professional Learning program on the Professional Learning page.Even once you are an expert at R code development, learning some topics in depth will both help you develop better code and share it more effectively with others.ĭive into the foundations of R.
0 kommentar(er)
