<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>projects | R (for ecology)</title><link>https://www.rforecology.com/tag/projects/</link><atom:link href="https://www.rforecology.com/tag/projects/index.xml" rel="self" type="application/rss+xml"/><description>projects</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© HabitU Lab, LLC and R for Ecology 2026</copyright><lastBuildDate>Mon, 05 Jul 2021 00:00:00 +0000</lastBuildDate><image><url>https://www.rforecology.com/media/logo_hu79e4c31f2037bf5f26b941f1d8a66338_12106_300x300_fit_lanczos_2.png</url><title>projects</title><link>https://www.rforecology.com/tag/projects/</link></image><item><title>How to organize your analyses with R Studio Projects</title><link>https://www.rforecology.com/post/organizing-your-r-studio-projects/</link><pubDate>Mon, 05 Jul 2021 00:00:00 +0000</pubDate><guid>https://www.rforecology.com/post/organizing-your-r-studio-projects/</guid><description>In this post I go over a basic method method for organizing your ecological data analysis projects in R.</description></item></channel></rss>