Stats and R

This website teaches the basics of model fitness using the DHARMa package in R. It explains the core functions of DHARMa, what DHARMa does, using DHARMa for simulated data, and using DHARMa regression modeling with real-world data.

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. 

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.

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.

In this tutorial I explain some of the linear algebra that is operating under the hood for ordinary least squares (OLS) regression.