An R interface to the Google Cloud Compute Engine API, for launching virtual machines.

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 acount 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 <- gce_vm(template = "rstudio", name = "rstudio-server", username = "mark", password = "mark1234") (or other credentials) to start up an RStudio Server.
  6. Wait for it to install, login via the returned URL.

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:

install.packages("googleComputeEngineR")

Development version:

devtools::install_github("cloudyr/googleComputeEngineR")