Google Compute Engine (GCE) lets you create and run virtual machines on Google infrastructure. See the general Google documentation here.
Before you begin, you will need to set up a Cloud Platform project, and enable billing by adding a credit card.
A quickstart guide to using GCE is available here for making your first VM via the web interface, if you are not familiar with GCE then its best to start there.
Pricing is available here.
googleComputeEngineR you will need:
Service account keyjson file, downloaded from the API Manager > Credentials > Create credentials > Service account key > Key type = JSON
client-secretfor your project.
A video guide to setup and launching an RStudio server has been kindly created by Donal Phipps and is available at this link.
The best way to handle authentication is to set environment arguments with your setup details.
These can be set in an
.Renviron file located on your computer home directory - R will look in this file upon startup. Read more via
The easiest way to find the right home directory is within RStudio, to click on the
Home button in RStudio’s file explorer. Create a file via
File > New file > Text File, save and call it
.Renviron file looks a bit like this:
GCE_AUTH_FILE="/Users/mark/xxxxx/auth.json" GCE_DEFAULT_PROJECT_ID="mark-xxxxxxx" GCE_DEFAULT_ZONE="europe-west1-a"
GCE_AUTH_FILE points to the file location of the service account JSON file taken from your Google Project. The other arguments set the default project and zone.
This file will then used for authentication when you load the library:
## GCE_AUTH_FILE set so auto-authentication > library(googleComputeEngineR) Successfully authenticated via /Users/mark/auth.json Set default project name to 'mark-xxxxx' Set default zone to 'europe-west1-a' ## no need for gce_auth() and will call default project > gce_get_project() $kind  "compute#project" $id  "43534234234324324" $creationTimestamp  "2015-05-08T15:22:38.416-07:00" $name  "mark-xxxxx" ...etc....