<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Selina Cheng | R (for ecology)</title><link>https://www.rforecology.com/authors/selina-cheng/</link><atom:link href="https://www.rforecology.com/authors/selina-cheng/index.xml" rel="self" type="application/rss+xml"/><description>Selina Cheng</description><generator>Wowchemy (https://wowchemy.com)</generator><language>en-us</language><copyright>© HabitU Lab, LLC and R for Ecology 2026</copyright><lastBuildDate>Thu, 23 Mar 2023 08:45:39 +0000</lastBuildDate><image><url>https://www.rforecology.com/media/logo_hu79e4c31f2037bf5f26b941f1d8a66338_12106_300x300_fit_lanczos_2.png</url><title>Selina Cheng</title><link>https://www.rforecology.com/authors/selina-cheng/</link></image><item><title>Top five(ish) sources of ecological data</title><link>https://www.rforecology.com/post/top-five-ish-sources-of-ecological-data/</link><pubDate>Thu, 23 Mar 2023 08:45:39 +0000</pubDate><guid>https://www.rforecology.com/post/top-five-ish-sources-of-ecological-data/</guid><description>In this post, I show you how to navigate some common ecological data portals and discuss when you might want to use one or another for accessing data that you can use for practice or your next research project.</description></item><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 create your own functions in R</title><link>https://www.rforecology.com/post/how-to-create-your-own-function-in-r/</link><pubDate>Thu, 21 Apr 2022 11:46:53 -0400</pubDate><guid>https://www.rforecology.com/post/how-to-create-your-own-function-in-r/</guid><description>In this tutorial, I&amp;rsquo;m going to explain how to create your own functions and provide a few examples.</description></item><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>R Data types 101, or What kind of data do I have?</title><link>https://www.rforecology.com/post/data-types-in-r/</link><pubDate>Wed, 16 Mar 2022 09:45:39 -0400</pubDate><guid>https://www.rforecology.com/post/data-types-in-r/</guid><description>In this tutorial, I introduce you to several different types of data, explain how to use and manipulate each of them, and show you how to check what type of data you have.</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><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><item><title>How to join tables in R</title><link>https://www.rforecology.com/post/how-to-join-tables-in-r/</link><pubDate>Wed, 26 Jan 2022 11:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/how-to-join-tables-in-r/</guid><description>In this tutorial, I show you how to combine tables (data frames) together using both base R and the &lt;code>dplyr&lt;/code> package.</description></item><item><title>Where to ask for help when coding in R</title><link>https://www.rforecology.com/post/where-to-ask-for-help-when-coding-in-r/</link><pubDate>Fri, 03 Dec 2021 09:08:00 -0600</pubDate><guid>https://www.rforecology.com/post/where-to-ask-for-help-when-coding-in-r/</guid><description>In this blog post, I&amp;rsquo;m going to describe a few R forums that are particularly useful when you need specific help with your own project.</description></item></channel></rss>