The {rSharp} R package provides access to .NET libraries from R. It
allows to create .NET objects, access their fields, and call their
methods.
This package is based on the rClr package and utilizes some of its code base.
As {rSharp} is provided with precompiled binary files, it is currently
a
binary
package.
The package utilizes two code bases - the R code which is exposed to the user, and the C++/C# code that communicates with the .NET libraries. The end user of the package will only interact with the R code, and pre-build C++/C# libraries are supplied with the package. See section Installation for instructions on how to install the package.
Advanced users and C++/C# developers might want to build the C++/C# code from source. For this, follow the instructions in section Build.
- Latest Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019 available here
- .NET 8 runtime available here.
You can install the package from GitHub with pre-build binaries by running:
install.packages("pak")
pak::pak("Open-Systems-Pharmacology/rSharp@*release")Get the latest development version with:
pak::pak("Open-Systems-Pharmacology/rSharp")Alternatively, download the attached binary file (.zip) from latest
release,
and install it locally using:
install.packages("path/to/rSharp_X.zip", type = "win.binary")- .NET 8 runtime available here (click on the macOS tab).
You can install the package from GitHub with pre-build binaries by running:
install.packages("pak")
pak::pak("Open-Systems-Pharmacology/rSharp@*release")Get the latest development version with:
pak::pak("Open-Systems-Pharmacology/rSharp")Alternatively, download the attached binary file (.tgz) from latest
release,
and install it locally using:
install.packages("path/to/rSharp_X.tgz")Run the following commands to install the required dependencies:
sudo apt-get install dotnet-runtime-8.0 libcurl4-openssl-dev libssl-dev libxml2-dev
sudo apt-get install libfontconfig1-dev libharfbuzz-dev libfribidi-dev
sudo apt-get install libfreetype6-dev libpng-dev libtiff5-dev libjpeg-dev
You can install the package from GitHub with pre-build binaries by running:
install.packages("pak")
pak::pak("Open-Systems-Pharmacology/rSharp@*release")Get the latest development version with:
pak::pak("Open-Systems-Pharmacology/rSharp")Alternatively, download the attached binary file (.tar.gz) from
latest
release,
and install it locally using:
install.packages("path/to/rSharp_X.tar.gz")To build the C++/C# libraries from source, make sure the
Desktop development with C++ workload is installed in Visual Studio.
Create an environment variable R_INSTALL_PATH and set the value to the
path where R is installed
set R_INSTALL_PATH = "C:\Program Files\R\R-4.3.3"
Start Visual Studio and open the rSharp.sln solution file and build
the solution. The build process will automatically copy the required
files to the rSharp/inst/lib folder.
Then start your preferred R environment and run the following R commands
from within the rSharp folder
devtools::install()
Set up .NET SDK and nuget (the latter to get the required
dependencies)
Optionally set up to build the binaries
sudo apt-get install dotnet-sdk-8.0
sudo apt-get install nuget
Navigate to the rSharp\shared directory and run
make
Then change back to the rSharp directory start your preferred R
environment and run the following R commands
devtools::install()
Download and install .NET SDK 8
Install Homebrew and use it to install build tools
brew install nuget
brew install cmake
brew install gcc
Navigate to the rSharp\shared directory and run
make
Then change back to the rSharp directory start your preferred R
environment and run the following R commands
devtools::install()
Examples of interacting with .NET assemblies using this package are
detailed in vignette('user-guide'). Some useful tips around using the
package are available in the vignette('knowledge-base').
Everyone interacting in the Open Systems Pharmacology community (codebases, issue trackers, chat rooms, mailing lists etc…) is expected to follow the Open Systems Pharmacology code of conduct.
We encourage contribution to the Open Systems Pharmacology community. Before getting started please read the contribution guidelines. If you are contributing code, please be familiar with the coding standards.
The {rSharp} package is released under the GPLv2 License.
All trademarks within this document belong to their legitimate owners.