<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>data wrangling | R (for ecology)</title><link>https://www.rforecology.com/tag/data-wrangling/</link><atom:link href="https://www.rforecology.com/tag/data-wrangling/index.xml" rel="self" type="application/rss+xml"/><description>data wrangling</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© HabitU Lab, LLC and R for Ecology 2026</copyright><lastBuildDate>Thu, 28 Apr 2022 09:30:50 -0400</lastBuildDate><image><url>https://www.rforecology.com/media/logo_hu79e4c31f2037bf5f26b941f1d8a66338_12106_300x300_fit_lanczos_2.png</url><title>data wrangling</title><link>https://www.rforecology.com/tag/data-wrangling/</link></image><item><title>How to reshape your data in R for analysis</title><link>https://www.rforecology.com/post/reshaping-data-in-r/</link><pubDate>Thu, 28 Apr 2022 09:30:50 -0400</pubDate><guid>https://www.rforecology.com/post/reshaping-data-in-r/</guid><description>In this blog post, I show you how to reshape data (i.e. how to use pivot tables) so that the data are in the correct form for data analysis in R.</description></item><item><title>How to use the group_by function with your ecological data</title><link>https://www.rforecology.com/post/how-to-use-the-group-by-function/</link><pubDate>Wed, 23 Feb 2022 08:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/how-to-use-the-group-by-function/</guid><description>In this tutorial, I discuss how to use a handy function called group_by() for organizing and preparing your data for analysis and visualization.</description></item><item><title>Introduction to missing data (NAs) in R</title><link>https://www.rforecology.com/post/introduction-to-missing-data-in-r/</link><pubDate>Tue, 01 Feb 2022 09:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/introduction-to-missing-data-in-r/</guid><description>In this tutorial, I&amp;rsquo;m going to explain what exactly an NA value is, how you can find NAs in your data, and how to remove them.</description></item></channel></rss>