The latest interactive course in the RStudio track is now available on DataCamp: ggvis tutorial. The first part of the tutorial is available for free, so everyone can now learn interactively how to start creating stunning ggvis data visualizations in R. All courses in the RStudio track are self-paced, and combine challenging interactive...
One of the many things on my “to do” list is to put together a blogged script that wires together RStudio, Jupyter notebook server, Shiny server, OpenRefine, PostgreSQL and MongDB containers, and perhaps data extraction services like Apache Tika or Tabula and a few OpenRefine style reconciliation services, along with a common shared data container,
So have you been looking for something like RStudio, but for Python? It’s been out for some time, but a recently updated release of Rodeo gives an increasingly workable RStudio-like environment for Python users. The layout resembles the RStudio layout – file editor top left, interactive console bottom left, variable inspector and history top right,
In a couple of courses I’ve used RPubs and GitHub for publishing my R code and work. As I have a own website with WordPress I want to blog from R to my own blog instead only through sharing R code via RPubs and GitHub. After searching over the internet I find
The RStudio IDE is a central component of the R software ecology that makes it easier to code in R, or to use R with other tools. This note discusses its use in a teaching environment.
Most of my teaching experience lies with Stata, but in recent years, I have also experimented teaching with R and RStudio...
RStudio has been a life-changer for the way I work, and for how I teach data analysis. I still have a couple of minor frustrations with it, but they are slowly disappearing as RStudio adds features. I use dual monitors and I like to code on one monitor and have the console and plots on
After nearly 10 month of work, Max(@nierhoff) and I are really happy to announce that our new book Mastering RStudio – Develop, Communicate, and Collaborate with R was just published. This book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio´s functionality to ease development
by Andrie de Vries I am preparing for a demonstration of functionality of R at a conference next week. For maximum impact, I wanted to use a fast virtual machine in Azure. It is actually very easy to build a fresh machine (cloud or otherwise) that contains R as well as RStudio server. In essence, all you have to...
The RStudio IDE is bursting with capabilities and features. Do you know how to use them all? Tomorrow, we begin an “RStudio Essentials” webinar series. This will be the perfect way to learn how to use the IDE to its fullest. The series is broken into six sections always on a Wednesday at 11 a.m. EDT: Programming Part 1 (Writing code
In this beginner’s level tutorial, you’ll learn how to install Shiny Server on an AWS cloud instance, and how to configure the firewall. It will take just a few minutes! Why? Playing around with Shiny is simple enough: all you need is is the R package called shiny, which you can get directly from CRAN. Making your