Blog

Solving Ordinary Least Squares (OLS) Regression using Gradient Descent

general linear model (GLM)

gradient descent

R

statistics

Exploring 11 Years of Chicago Blackhawk’s Data using Principal Components Analysis

principal components analysis (PCA)

R

statistics

A collaboraion with Matt Kmiecik using principal components analysis to analyze Blackhawk’s data.

Solving Ordinary Least Squares (OLS) Regression Using Matrix Algebra

matrix algebra

R

statistics

In psychology, we typically learn how to calculate OLS regression by calculating each coefficient separately. However, I recently learned how to calculate this using matrix…

Simple Linear Regression via Voice Command: A Shiny App

general linear model (GLM)

shiny app

statistics

Change variables of a simple linear regression via voice commands. (Note: Link may or not work depending on if my free hours have been used up for the month, but feel free to download the code and run locally from my GitHub.)

Bootstrapping and Permutation Testing: A Shiny App

bootstrapping

permutation

R

shiny app

statistics

A collaboration post with Matt Kmiecik about the differences between bootstrapping and permutation testing with input variables that change on the fly.

Calculate 24-Motion Variables

A quick guide to calculating 24-motion variables

fMRI

motion

R

preprocessing

This is a quick guide to calculate the 24 motion parameters from the original six motion parameters. These 24 motion parameters can be used as control variables (covariates…

Multilevel Modeling in R with NHL Power Play Data

multilevel modeling (MLM)

R

statistics

A collaboration post with Matt Kmiecik about multilevel modeling in R using professional hockey data from the NHL.