Name: Jo Hardin
Type: User
Company: Pomona College Department of Mathematics & Statistics
Bio: statistician, professor - engaged with the next generation of students: stat ed, data science in the curriculum, equal access for all students
Location: Claremont, California
Blog: https://hardin47.netlify.app/
Jo Hardin's Projects
What the Package Does (Title Case)
Paper describing the CURV repository
Data Science and Statistics Materials to accompany Hardin et al., (2015) The American Statistician
All materials and examples associated with the Dynamic Data project.
Individualized Prediction Errors and Prediction Intervals for Random Forests in R
OpenIntro Labs in R using the dplyr syntax for data manipulation
π¦ R package for data and supplemental functions for OpenIntro resources
Predictions for the 2016 ASA Election Prediction Contest
Slides and other materials from presentations at the LA East R User Meetup
Breiman and Cutler's random forests for classification and
Introduction to Statistics with Randomization and Simulation
robust multiple sparce canonical correlation analysis
Contains simulation code for evaluating RNA-Seq normalization methods when assumptions are violated
Repository for SDS 261 taught at Smith College in Interterm 2024.
ApΓ©ro is a Hugo theme for personal websites. This is the documentation site, made with the theme :lemon:
This repository contains work which students can use to learn R.
Articles for the Taking a Chance in the Classroom column of CHANCE
repo for the published version of The timing of transcription of RpoS-dependent genes varies across multiple stresses in Escherichia coli K-12
Data Science Research Circle at Pomona College in Spring 2020 -- supervised by Jo Hardin & Ghassan Sarkis. Undergraduate researchers: Amber Lee (β22), Arm Wonghirundacha (β22), Emma Godfrey (β21), Ethan Ong (β21), Ivy Yuan (β21), Oliver Chang (β22), and Will Gray (β22)