A framework for deploying self-contained R-based applications to the desktop
Allows developers to share R based applications to users as desktop applications by providing both a portable R executable environment and a private application package library.
For more information on how this framework was developed please read:
Software Developers and Research Scientists who need to share applications in an environment where installing system / OS level software can be challenging and where use of other isolation and portability techniques (e.g. Docker containers) is not feasible.
This deployment strategy has been tested with R based applications developed with Shiny, RGTK, and Tcl/Tk UIs. The specifics of how to make applications with each of these frameworks are beyond the scope of these instructions.
cd /path/to/deployment/staging
git clone https://github.com/wleepang/DesktopDeployR.git MyApplication
The git clone
command above will clone the framework into a folder named
MyApplication
.
Alternatively, you can fork this repository into your own Github account and clone from there.
It is highly recommended that you create a branch for your application:
cd /path/to/MyApplication
git checkout -b MyApplication
This will allow you to easily track your application code and any customizations you make to the framework.
The framework can be used with both a system installed version of R or R-Portable. The latter is recommended as it provides the most application isolation and allows for applications to be deployed to users unable to install R on their own (i.e. they lack sufficient system privileges).
Download R-portable from: https://sourceforge.net/projects/rportable/
Install it into:
/<appname/dist/
For example - a shiny app:
app/shiny
ui.R
, server.R
, and any other related files into app/shiny
edit app/app.R
:
# assuming all shiny app code (ui.R and server.R are in ./app/shiny)
shiny::runApp('./app/shiny')
Edit app/packages.txt
- adding your app's primary package dependencies, one
package per line.
For a shiny
app that depends on ggplot
, app/packages.txt
should look like:
jsonlite # required by DesktopDeployR
shiny
ggplot
Packages listed here, along with their dependencies, are installed in a private
application library (app/library
) when the application is run for the first
time.
Note, the above only works for packages available on CRAN. Custom packages need
to be installed manually. The recommended method is to use devtools
:
$ Rscript -e "devtools::install('path/to/package', lib = '<appname>/app/library')"
The file app/config.cfg
is a JSON-ish formatted file that configures how the
application is launched. Block (/* ... */
) and line level (// ...
) comments
are allowed - they are removed to create valid JSON before the file is parsed.
Root level options:
Option | Description |
---|---|
appname |
The name of the application. Displayed in the title of the progress bar shown during initialization, and used to name folders for logs based on logging settings (see below). |
packages |
(Optional: Default: "http://cran.rstudio.com" ) An object with a single element cran that specifies the CRAN mirror to use for installing packages. Alternatively, this can point to a private CRAN-like package repository for more control over package versions. |
r_exec |
(Optional; Default: "dist\\R-Portable\\App\\R-Portable\\bin\\" ) An object with elements specifying R execution options (see below). |
logging |
(Optional; Default: undefined ) An object with elements specifying logging options (see below) |
R Executable Options
Option | Description |
---|---|
home |
(Optional; Default: "dist\\R-Portable\\App\\R-Portable\\bin\\" ) Path to <R_HOME>/bin - the R environment to use to run the app. |
command |
(Optional; Default: Rscript.exe ) Name of the specific R interpreter executable to use. |
options |
(Optional; Default: --vanilla ) Options to pass to the R interpreter executable. |
Logging Options:
Option | Description |
---|---|
filename |
(Optional; Default: "error.log" ) Name of the application log file. This file captures all text sent to stdout and stderr by the application. |
use_userprofile |
(Optional; Default: false ) Boolean flag to set where application logs are kept. If true the application log file is written to %USERPROFILE%/.<appname>/ . |
Rename appname.bat
as appropriate - e.g. to MyApplication.bat
.
The entire application folder is copied to the deployed location. This is the
easiest way to deploy. Note, it is possible to place / launch an application
from a network share. If this is the case, be sure to set logging.use_userprofile: true
in the application launch configuration.
Create an installer using NSIS installer or InnoSetup. This is ideal for installing on isolated workstations. Both R-portable and package dependencies can be compiled with the installer. This means that a "first run" that ensures all package dependencies, must occur before compiling an installer.
TBD: an example InnoSetup installer compile script
Either replace ./dist/R-Portable/
with the version of R-Portable
that is
required or modify ./app/config.cfg
to point to the desired R installation
(e.g. a system install).
Due to their potentially large sizes, it is not recommended that the following folders be tracked by version control (i.e. Git):
/app/library/
/dist/R-Portable
/<appname> # - application deployment root
./app/ # - application working directory
./library/ # - application specific package library
./shiny/ # - application framework folder (in this case, shiny)
./global.R # - global constants and functions for shiny-app
./server.R # - server processing function for shiny-app
./ui.R # - user interface definition function for shiny-app
./app.R # - application launch entry script
./config.cfg # - application configuration file
./packages.txt # - list of primary package dependencies
./... # - other application files
./dist/ # - application launch framework
./R-Portable/ # - "vanilla" R interpreter (downloaded separately)
./script/
./R
./run.R # - R environment initialization and application launch
./wsf
./js
./JSON.minify.js # - JS to JSON minifier, allows comments in JSON files
./json2.js # - JSON parsing library
./run.js # - OS application launch script
./run.wsf # - merges javascript dependencies and launch script
./USAGE.md # - notes on how the dist folder is structured
/<appname>.bat # - batch file to start application
/README.md # - this file or brief description of application