Scheduling R scripts for a team using RStudio Server, Docker, Github and Google Compute Engine

edit 20th November, 2016 - now everything in this post is abstracted away and available in the googleComputeEngineR package - I would say its a lot easier to use that. Here is a post on getting started with it. http://code.markedmondson.me/launch-rstudio-server-google-cloud-in-two-lines-r/ This blog will give you steps that allows you to run on Google Compute Engine a server that has these features: RStudio Server instance with multiple login. Apache to host a welcome webpage.

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googleAuthR 0.2.0

googleAuthR is now on CRAN version 0.2.0. This release is the result of using the library myself to create three working Google API libraries, and tweaking the googleAuthR code to better support the process. As a result all of these libraries are now able to be authorised with one Google OAuth2 login flow: googleAnalyticsR searchConsoleR bigQueryR Batching This means the libraries above and any other created with googleAuthR can take advatage of batching: this uses a Google API feature that means you can send multiple API calls at once.

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Jekyll + Github + Markdown = Blog

Hello World! Welcome to my new home for code blogging. I’ll keep the regular blog for all the other stuff, running on Posthaven. Why? Its educational, and free, and writing code posts using Posthaven’s rich text editor was sometimes painful. Using this setup means its all written in Markdown so I get control over everything just the way I want it, and since it combines Github and Markdown, two things I know well already, Jekyll seemed worth knowing.

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