{"repo":"cloudyr/googleComputeEngineR","free":true,"listed":false,"github":"https://github.com/cloudyr/googleComputeEngineR","clone":"git clone https://github.com/cloudyr/googleComputeEngineR.git","description":"An R interface to the Google Cloud Compute API, for launching virtual machines","language":"HTML","stars":155,"topics":["google-cloud","googleauthr","r","cloudyr","api","launching-virtual-machines","cloud-computing"],"license":null,"category":"api-integrations-sdks","readme_excerpt":"googleComputeEngineR googleComputeEngineR provides an R interface to the Google Cloud Compute Engine API, for launching virtual machines. It looks to make the deployment of cloud resources for R as painless as possible, and includes some special templates to launch R-specific resources such as RStudio, Shiny, and OpenCPU with a few lines from your local R session. See all documentation on the googleComputeEngineR website TL;DR - Creating an RStudio server VM 1. Configure a Google Cloud Project with billing. 2. Download a service account key JSON file. 3. Put your default project, zone and JSON file location in your .Renviron . 4. Run library(googleComputeEngineR) and auto-authenticate. 5. Run vm Thanks to Scott Chamberlin for the analogsea package for launching Digital Ocean VMs, which inspired the SSH connector functions for this one. Winston Chang for the harbor package where the docker functions come from. If harbor will be published to CRAN, it will become a dependency for this one. Henrik Bengtsson for help in integrating the fantastic future package that allows asynchronous R functions run in GCE clusters. Carl Boettiger and Dirk Eddelbuettel for rocker that Docker containers some of the R templates used in this package. Install CRAN version: Development version: ---","default_branch":null,"files":null,"tree":[],"storefront":"/r/cloudyr","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/cloudyr/googleComputeEngineR/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}