The Three Forms of (Legal) Prediction: Experts, Crowds + Algorithms (Updated Version of Presentation)

Quantitative Methods for Lawyers – Course Materials – Professor Daniel Martin Katz Methods for Lawyers is the first course in a two course sequence and it assumes no prior knowledge of statistics / quantitative thinking.  You will learn basic concepts and will receive an introduction to R (the open source programming language which is lingua franca of statistical computing).   Those with a prior knowledge of statistics, etc. might be advised to simply start with our Legal Analytics course (which is a primer in machine learning / advanced analytics for lawyers that I teach with Michael Bommarito).

Quantitative Methods for Lawyers Course – Fall 2013 – Professor Daniel Martin Katz

Finishing up the Fall 2013 Quantitative Methods for Lawyers Course on Friday — Legal Analytics (taught by Michael J.Bommarito II  &  Daniel Martin Katz) – is the follow up course — offered in Winter 2014.

R Boot Camp – Part 2 in Quantitative Methods for Lawyers (Professor Daniel Martin Katz)

Today was Day 2 of our R Boot Camp in Quantitative Methods for Lawyers.

In total, there will be three set of slides in this multi-day bootcamp designed to introduce students to the logic of R, the basic roadblocks such as loading data and cleaning data, loading various R packages, running basic commands, shifting out of default command settings, plotting data, conducting statistical tests, etc. Later in the course we will use R for regression analysis, etc.

For anyone who might be interested, the Full Course Page including all slidedecks is located here. For help on the installation of R and the RStudio IDE please check out my Loading R/RStudio Bonus Module.