A package written for R focused on baseball analysis. Currently in development.

Geoms to draw MLB stadiums in ggplot2

Multi-core processing of 'Gameday' data from Major League Baseball Advanced Media. Additional tools to parallelize large data sets and write them to a database.

Public Repository for Baseball Prospectus

R package to easily plot MLB logos

Marcel projections

A tool to gather and analyze data from the Baseball Databank maintained by the Chadwick Bureau or the Lahman Database, maintained by Sean Lahman. Provides ETL and analysis tools for sabermetrics and advanced statistics.

Shiny app for MiLB rolling trend graphs, spray charts, etc.

⚾ tools to facilitate collection of baseball data

R scripts to showcase predicting Baseball HOF Induction using the Mlr and DALEX R packages.

Using K-means clustering, linear regression, and multivariate adaptive regression splines (MARS) models

Project for generalized linear models class at BYU. Modeling the probability that a pitch is a strike using generalized additive models and determining catcher framing abilities and umpire influence on the strike zone using generalized linear mixed models.

R Shiny App displaying visualization and trackman metrics for baseball players. (The app was made for the CWL Players and Scouts)

shiny app

Quickly Visualize Multiple Pitches of a Pitchers Arsenal

K-means clustering and gradient boosting (XGBoost)

TrackMan Illustrator

Data and code for analyzing effects of NCAA baseball aluminum bat regulations

This repository contains an application for comparing home-runs between players across the years.

Analysis on the MLB strike zone based on data on pitches and calls.