How to

In part two of my series on R Markdown, I'll go over how to use R Markdown for learning R by documenting your journey into your own guide to R.

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'll learn how to create basic R Markdown documents with all the essential content.

In this tutorial, I'm going to explain what exactly an NA value is, how you can find NAs in your data, and how to remove them.

In this tutorial, I show you how to combine tables (data frames) together using both base R and the `dplyr` package.

In this tutorial, I teach you how to create a basic scatterplot using base R.

The first step to learning R is to have it downloaded on your computer! In this blog post, I introduce R and RStudio and show you how to download and install them.

As scientists analyzing their data, we often have data or results in R that we want to export to a word processor for the reports or publications that we’re writing. In this tutorial I show you how to do just that!

Here I present a video tutorial and walkthrough (and code) that I created to go over my cheatsheet on the 80% most important functions in R (for ecology)

Here I describe how evolutionary algorithms work by going through an example of fitting a basic linear model.

Scatterplots are one of the most common types of data visualizations you will encounter as a biologist. Here I go over how to make quality scatterplots that are ready for publication.