![]() ![]() Since VSC is not project- or solution-based, but rather directory-based, it has a little more liberty to support more languages (e.g. If it doesn’t, support may be available through an extension. Let’s type in some R code:įrom what I can tell from Visual Studio’s website on supported languages, VS20** (including 2015) may not support R natively. Under the “R” folder in Visual Studio Code, right-click and choose “New File.” Now name the file “ test.r”. ![]() Therefore, I’ve created a folder called “R” and placed that in my projects folder on my hard drive.īy right-clicking on the folder, I will see a context menu option reading “Open with Code.” Click on it and Visual Studio Code will appear with the “R” folder as your project’s main folder. A “project” in Visual Studio Code is everything located in a given folder. Unlike a commercial release of Visual Studio that uses project and solution files, Visual Studio Code is based on folders. Otherwise, I’ll use the “R.exe” that is located in the bin folder. If I am using Rterm on a 64-bit machine, I’ll use the “R.exe” in the “圆4” subfolder. I have a “圆4” subdirectory in my Rterm’s bin folder.The home installation path was located in “C:\Program Files” as compared to “C:\Program Files(x86)”.Therefore, in the following image, you notice two things: You can determine what you have installed by either remembering what you chose in the installation options, or checking out Rterm’s folder on your hard drive. Second, depending on what you chose in the installation of Rterm, you may have 32-bit, 64-bit or both versions installed. However, these instructions are specifically for the Windows environment.įirst, of course, you’ll need to install them. So, this is a post that demonstrates setting up Visual Studio Code to run R applications.īefore you begin, you’ll need to download, both:īoth of these tools are platform agnostic. Additionally, I’m playing around with the new lightweight development environment from Microsoft, Visual Studio Code. Right now, I’m experimenting with R and statistical computing. ![]()
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