Building an R Environment
This guide covers configuring R environments in envd
. If you’re new to envd
please read our Tutorial and build configuration guides first.
Specifying R
First, you can specify to use the R language in the base
function.
def build():
base(os="ubuntu20.04", language="r")
R packages
You can install R packages with install.r_packages
function. The following example installs remotes
and rlang
packages:
def build():
base(os="ubuntu20.04", language="r")
install.r_packages([
"remotes",
"rlang",
])
Configuring CRAN Mirror
By default, the RStudio CRAN mirror "https://cran.rstudio.com"
is used when downloading and installing R packages. However, you can specify any other mirrors via config.cran_mirror()
like the following:
def build():
base(os="ubuntu20.04", language="r")
config.cran_mirror(url="https://cloud.r-project.org/")
install.r_packages([
"remotes",
"rlang",
])
Specifying shell program
You can specify shell program used in the environment with shell
function. The following example uses zsh
:
def build():
base(os="ubuntu20.04", language="r")
shell("zsh")
Specifying VSCode extensions
You can specify VSCode extensions with install.vscode_extensions
function. The following example installs REditorSupport.r-lsp
[1]:
def build():
base(os="ubuntu20.04", language="r")
install.vscode_extensions(["REditorSupport.r-lsp"])
Setting up RStudio server
You can set up RStudio server with config.rstudio_server
.
def build():
...
config.rstudio_server()
Endpoint can be got through envd envs list
command.
$ envd envs list
NAME ENDPOINT SSH TARGET IMAGE GPU CUDA CUDNN STATUS CONTAINER ID
r-basic rstudio: http://localhost:34621 r-basic.envd r-basic:dev false <none> <none> Up 6 hours 1eb7d40e5a8a
Then you can connect to the RStudio server by using http://localhost:34621
in your browser. Please use envd
as the username, and the password can be any string.
open-vsx is used instead of Microsoft VSCode Marketplace due to licensing issues. ↩︎