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
- Configure a Google Cloud Project with billing.
- Download a service account key JSON file.
- Put your default project, zone and JSON file location in your
.Renviron. - Run
library(googleComputeEngineR)and auto-authenticate. - Run
vm <- gce_vm(template = "rstudio", name = "rstudio-server", username = "mark", password = "mark1234")(or other credentials) to start up an RStudio Server. - Wait for it to install, login via the returned URL.
A video guide to setup and launching an RStudio server has been kindly created by Donal Phipps and is available at this link.
<iframe width="560" height="315" src="http://www.youtube.com/embed/1oM0NZbRhSI?rel=0" frameborder="0" allowfullscreen></iframe>- 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
harborwill 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.
CRAN version:
install.packages("googleComputeEngineR")Development version:
if (!require("ghit")) {
install.packages("ghit")
}
ghit::install_github("cloudyr/googleComputeEngineR")