<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Programming category - Languages on RΞCURSION</title><link>https://www.carlvinjerry.com/posts/programming/interoperability/</link><description>Recent content in Programming category - Languages on RΞCURSION</description><generator>Hugo -- gohugo.io</generator><language>en</language><atom:link href="https://www.carlvinjerry.com/posts/programming/interoperability/index.xml" rel="self" type="application/rss+xml"/><item><title>Seamless R Integration in .NET with R.NET: A Step-by-Step Guide</title><link>https://www.carlvinjerry.com/posts/programming/interoperability/rdotnet-interop/</link><pubDate>Mon, 04 Aug 2025 16:54:25 +0600</pubDate><guid>https://www.carlvinjerry.com/posts/programming/interoperability/rdotnet-interop/</guid><description>This post explores how R.NET enables seamless in-process R integration in .NET, focusing on statistical computations. Through a simple F# example calculating mean and standard deviation, we demonstrate how to set up R.NET, call R functions, and handle common pitfalls, empowering .NET developers to leverage R’s power.</description></item></channel></rss>