R

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.

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.

In this tutorial, I'm going to give an explanation of what pipes are and when they can be used, and then I'm going to demonstrate how useful they can be for writing neat and clear R code.

In this tutorial, I discuss how to use a handy function called group_by() for organizing and preparing your data for analysis and visualization.

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.

My online course on the Basics of R (for ecologists) is soon to launch with a version completely recorded in Spanish.

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