These are some books written by members of the meetup.

Teaching Statistics: A Bag of Tricks

Andrew Gelman & Deborah Nolan

A Quantitative Tour of the Social Sciences

Andrew Gelman & Jeronimo Cortina

Testing R Code

Richard Cotton

Parallel R

Q. Ethan McCallum

Data Science on AWS

Chris Fregly & Antje Barth

R for Everyone

Jared P. Lander

Bayesian Data Analysis

Andrew Gelman, John B. Carlin, Hal S. Stern, David B. Dunson, Aki Vehtari & Donald B. Rubin

Machine Learning for Hackers

Drew Conway & John Myles White

Bad Data

Q. Ethan McCallum

Doing Data Science

Cathy O'Neil & Rachel Schutt

Applied Predictive Modeling

Max Kuhn & Kjell Johnson

Machine Learning for Email

Drew Conway & John Myles White

Text Mining with R

Julia Silge & David Robinson

Learning R

Richard Cotton

Analyzing the Analyzers

Harlan Harris, Sean Patrick Murphy & Marck Vaisman