<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>data analysis | R (for ecology)</title><link>https://www.rforecology.com/tag/data-analysis/</link><atom:link href="https://www.rforecology.com/tag/data-analysis/index.xml" rel="self" type="application/rss+xml"/><description>data analysis</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>data analysis</title><link>https://www.rforecology.com/tag/data-analysis/</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>The basics of prototyping and exporting your plots in R</title><link>https://www.rforecology.com/post/exporting-plots-in-r/</link><pubDate>Thu, 05 May 2022 09:30:50 -0400</pubDate><guid>https://www.rforecology.com/post/exporting-plots-in-r/</guid><description>In this tutorial, I go over the basics of how to prototype, save, and export your plots from 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 R Markdown (part two): for learning R!</title><link>https://www.rforecology.com/post/how-to-use-rmarkdown-part-two/</link><pubDate>Tue, 15 Feb 2022 10:45:39 +0000</pubDate><guid>https://www.rforecology.com/post/how-to-use-rmarkdown-part-two/</guid><description>In part two of my series on R Markdown, I&amp;rsquo;ll go over how to use R Markdown for learning R by documenting your journey into your own guide to R.</description></item><item><title>How to use R Markdown (part one)</title><link>https://www.rforecology.com/post/how-to-use-rmarkdown-part-one/</link><pubDate>Wed, 09 Feb 2022 10:45:39 -0500</pubDate><guid>https://www.rforecology.com/post/how-to-use-rmarkdown-part-one/</guid><description>R Markdown is a powerful method for creating reports that combine formatted text with R code. This can help you with accountability, data analysis reproducibility, for making tutorials (like this one), and also for learning R! In part one of this two-part series, you&amp;rsquo;ll learn how to create basic R Markdown documents with all the essential content.</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><item><title>Intro to evolutionary algorithms with R for beginners (from scratch) [PART 1]</title><link>https://www.rforecology.com/post/intro-to-evolutionary-algorithms-with-r-for-beginners-from-scratch-part-1/</link><pubDate>Fri, 27 Aug 2021 00:00:00 +0000</pubDate><guid>https://www.rforecology.com/post/intro-to-evolutionary-algorithms-with-r-for-beginners-from-scratch-part-1/</guid><description>Here I describe how evolutionary algorithms work by going through an example of fitting a basic linear model.</description></item><item><title>How to do a simple linear regression in R</title><link>https://www.rforecology.com/post/how-to-do-simple-linear-regression-in-r/</link><pubDate>Fri, 09 Jul 2021 00:00:00 +0000</pubDate><guid>https://www.rforecology.com/post/how-to-do-simple-linear-regression-in-r/</guid><description>I show you how to do a simple linear regression in R that models the relationship between two numeric variables</description></item></channel></rss>