This section is dedicated to special topics related to R programming and statistical inference.
A Gentle Introduction to R
This is a free online course I developed at Quantfish. It teaches the fundamentals of R programming and is designed for complete beginners to R. I cover the core features of base R, visualization in ggplot2, wrangling with dplyr, writing RMarkdown publications, and other important utility functions in the R programming language.
Simulation-Based Inference
Here I discuss the basics of simulating data in R. I go over univariate and multivariate examples, as well as complex relationships and Bayesian estimation methods.
Cohen's D: Why Sample Size Matters
In this RPub, I provide two very basic simulations in R which explore the effects of sample size on effect sizes like Cohen's d.
Linear Algebra in Regression
In this tutorial I explain some of the linear algebra that is operating under the hood for ordinary least squares (OLS) regression.
