Jupyter R: Configure Jupyter to work with R on a Mac How to configure Jupyter Notebook to work with R on a Mac using Homebrew.

For Developers R: Troubleshooting XLConnect and rJava on macOS How to troubleshoot installing XLConnect and rJava for R on macOS.

R R: How to Configure TextMate for R If you are using TextMate and you want to run an R script using cmd + R, you will first need to configure the editor. Here's how: Step 1 - Install R Bundles Go to Preferences > Bundles and select: "R", "R Console (R.app)" and "R Console (Rdaemon)". Step 2 -

Ruby Statistics: Calculating Mean, Median, Mode, Standard Deviation using Ruby, R, or Javascript Unsure what is mean median and mode? Here's how to find mean, median, mode and standard deviation using Ruby, R, and Javascript.

Data Science R: Create Interactive Charts using R and Shiny Shiny is a package within R that helps data scientists and developers create interactive web applications. Are you a data scientist who knows R but can't figure out how React [https://reactjs.org/], Angular [https://angular.io/], or Vue JS [https://vuejs.org/]? Then this is the framework for you.

Data Science R: Using ggplot2 What is ggplot2 and why is it the best open source graphical library for R.

Data Science R: Using R to process Google Analytics Setting Up Your Environment Before you can start using R, you'll need to install it. Here's how to install R on a Mac using Homebrew [https://www.chrisjmendez.com/2017/01/19/installing-r-using-homebrew/] Dataframes What makes R really powerful is this concept of Dataframes. Dataframes the objects used to represent