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

March 7, 2019 Academic Hockey Analytics R

In this post we explore 11 seasons (2007 - 2018) of team summary data from the Chicago Blackhawks of the National Hockey League (NHL). Our question was, “Are there any summary measures, such as goals scored or save percentage, that predict playoff performance or championship wins?”…

My Reads

January 3, 2019 Academic R

I absolutely love reading and collecting books. Whenever I’m in a phase where I am constantly reading, I feel more creative and confident in my academic work. However, in the busy mix of an academic semester, it’s easy to put reading off to the side in lieu of data analysis, writing, and conferences. Below is a live tracker of my reading progress (I’m trying for around 20 pages per day) to help motivate me to read every day. I’ll do my best to update this weekly…

Bootstrapping and Permutation Testing: A Shiny Dashboard

September 2, 2018 Academic R Shiny Dashboard

We upgraded our shiny app to a shiny dashboard.

A Method for Characterizing Semantic and Lexical Properties of Sentence Completions in Traumatic Brain Injury

July 22, 2018 Academic Paper Review

Last summer we published a paper in Psychological Assessment that presented methods to better characterize verbal responses on neuropsychological assessments. These methods were applied to a specific cognitive test called the Hayling Sentence Completion Test. We demonstrated that these new methods provide additional insights into the cognitive performance of individuals with mild to moderate traumatic brain injury (TBI)…

Bootstrapping and Permutation Testing: A Shiny App

June 7, 2018 Academic R Shiny App

This post serves as a brief overview of the difference between bootstrapping and permutation testing with a shiny app to visualize their differences. The example statistic we use here is a correlation; however, these techniques can be extended to a variety of statistics (e.g., t-test, ANOVA, PCA)…

Simulating 2018 NCAA March Madness Tournament Performance in R

March 20, 2018 Academic R

A few of us graduate students decided it would be fun to simulate this year’s NCAA Men’s National Championship tournament using R. When we all met to discuss our method to simuluate tournament performance, we quickly realized several methods emerged…

Multilevel Modeling in R with NHL Power Play Data

February 11, 2018 Academic Hockey Analytics R

This post serves as both a tutorial on how to perform multilevel modeling in R and an analysis that provides insight to how powerplay goals in the NHL have changed across 10 years. Readers will learn how to explore data using plots, use R to fit linear models, and how to extract inferences from the results.

Writing a Literature Review

September 25, 2017 Academic

I recently completed my first comprehensive literature review as part of a graduate school milestone project. Before starting, I sought guidance from online blogs and university workshops held by our library. The tips I learned from these resources were extremely helpful, but not everything worked for me. This is simply a list of things that worked/did not work for me during the reading and writing process of my literature review…

Using Xbox Controllers and Sending EEG Triggers with E-Prime

June 12, 2017 Academic R E-Prime EEG

I just spent an entire week wrangling the E-Prime beast and I’ve lived to tell the tale. I was able to successfully integrate an Xbox controller to accept participant responses as well as communicate these to an EEG system as triggers. This wouldn’t have been possible without the help of benevolent bloggers and discussions on E-Prime’s Google group, so thank you all! I’ll point out these information sources along the way…

ggplot2 Histogram Logo Fail

May 15, 2017 Academic R

When I first started creating this website (in WordPress), I thought it would be cool have have my own logo. Why not, right? I figured I’d go super nerdy and have a cool histogram plot with a density curve through it. I had just finished reading Hadley Wickham’s ggplot2 book and I was excited to put some of those newly learned skills to use…

Stop Using Excel to Preprocess E-Prime Data

May 15, 2017 Academic R E-Prime

Excel is a great tool for processing data. Whether it’s calculating a quick average, standard deviation, or t-test, Excel is fast and simple to learn and use. In fact, most of my colleagues use Excel to preprocess their data from experiments programmed in E-Prime, a software tool for running psychological experiments. However, preprocessing your E-Prime data in Excel will…