Learning R

In this workshop, I will cover an introduction to R for the psychological researcher with little to no programming experience. The content will mostly consist of what you might find in an introductory statistics class. I'll first discuss some …

How to create a Twitter bot using R

Last week, I decided to kill an afternoon by creating a Twitter bot. Why? Mostly, I was procrastinating on revisions for a manuscript and looking for a small R project to practice my programming skills.

Descriptive statistics in R, part III

In my last couple of posts, I discussed some of the ways R can summarize data. I started this discussion by demonstrating how to calculate frequencies and create data tables and then covered some common functions in base R and other packages that provide more detailed descriptive statistics.

Descriptive statistics in R, part II

Moving on from frequencies and tables, which were covered in part I, let’s now focus on other ways to summarize our data (e.g., mean, standard deviation). There are a lot of ways to divide a topic like descriptive statistics, and R can further complicate this seemingly simple task.

Descriptive statistics in R, part I

Well, I made it to my second blog post before I broke my goal of writing 2-4 posts a month. In fact, I completely missed the month of March. So, in an attempt to reestablish my (bi)weekly delivery of all things trivial, I’m starting a three-part series about conducting descriptive statistics in R.