<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>dplyr | R (for ecology)</title><link>https://www.rforecology.com/tag/dplyr/</link><atom:link href="https://www.rforecology.com/tag/dplyr/index.xml" rel="self" type="application/rss+xml"/><description>dplyr</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© HabitU Lab, LLC and R for Ecology 2026</copyright><lastBuildDate>Tue, 29 Mar 2022 09:09:55 -0400</lastBuildDate><image><url>https://www.rforecology.com/media/logo_hu79e4c31f2037bf5f26b941f1d8a66338_12106_300x300_fit_lanczos_2.png</url><title>dplyr</title><link>https://www.rforecology.com/tag/dplyr/</link></image><item><title>Search through your ecological data with the 'grep()' function</title><link>https://www.rforecology.com/post/how-to-use-grepl/</link><pubDate>Tue, 29 Mar 2022 09:09:55 -0400</pubDate><guid>https://www.rforecology.com/post/how-to-use-grepl/</guid><description>Here I describe the functions called &lt;code>grep()&lt;/code>, &lt;code>grepl()&lt;/code>, and &lt;code>sub()&lt;/code>, which allow you to find strings in your data that match particular patterns.</description></item><item><title>Learning about data structures in R</title><link>https://www.rforecology.com/post/data-structures-in-r/</link><pubDate>Wed, 23 Mar 2022 09:09:55 -0400</pubDate><guid>https://www.rforecology.com/post/data-structures-in-r/</guid><description>In this tutorial, we&amp;rsquo;re introduce the structures that R provides to help you organize your data.</description></item><item><title>Complete tutorial on using 'apply' functions in R</title><link>https://www.rforecology.com/post/how-to-use-apply-functions/</link><pubDate>Tue, 08 Mar 2022 09:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/how-to-use-apply-functions/</guid><description>Here I show you a useful family of functions that allows you to repetitively perform a specified function (e.g., sum, mean) across a vector, matrix, or data frame.</description></item><item><title>How to use pipes to clean up your R code</title><link>https://www.rforecology.com/post/how-to-use-pipes/</link><pubDate>Wed, 02 Mar 2022 02:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/how-to-use-pipes/</guid><description>In this tutorial, I&amp;rsquo;m going to give an explanation of what pipes are and when they can be used, and then I&amp;rsquo;m going to demonstrate how useful they can be for writing neat and clear R code.</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></channel></rss>