Plots for the manuscript "The Extrema of Japanese Literacy: Beyond the Bounds of Average Reading."

This tutorial shows some of the things going on under the hood with respect to OLS regression coefficient estimation.

A tutorial on the basics of the data generating process (DGP) and simulating data in R for statistical inference.

Here we move on from one sample t-tests to two sample t-tests. I discuss important issues like homogeneity of variance, extrema in NHST, and comparisons of t-tests to linear regression.

A tutorial on one-sample t-tests in R.

This tutorial explores the beginnings of inferential testing: standard error and z-tests.

The ggplot2 package is a powerful tool for learning how to visualize data. We will cover a number of fundamental functions in this package for use in later tutorials.

It's time to learn how to wrangle data in one of the most useful family of packages in R: the tidyverse!

Exploring types of variables, variation, central tendency, and simulating normally distributed data.

A basic introductory tutorial to using R.

A simulation of sample size effects on Cohen's d effect size measures.