The winter workshop is a supplement to the annual summer workshop. Two courses will be offered, one on introductory topics and the other on advanced topics.
Registration available here.
Monday, January 11: Introduction to R (10 a.m. - 3:30 p.m.)
Wednesday, January 20: Machine Learning (3 p.m. - 8 p.m.)
The Institute for Research in the Social Sciences at 30 Alta Road, Stanford
$30 per day. Price includes food.
Introduction to R Synopsis
Instructors: Gustavo Robles and Jonathan Mummolo
- Introduction to R
- R Basics: Workspace, working directory, and scripts
- Creating and storing objects
- Functions in R
- R-Packages (code, functions, and datasets)
- Reading and exporting data
Afternoon Session: Reading and Manipulating Data
- Selecting and subsampling data.
- Transforming data.
- Merging and appending datasets.
- Loops in R
*Please come prepared to follow along on your laptop.
R program download links:
Some useful books:
- Maindonald, John, and W. John Braun (2010). “Data Analysis and Graphics Using R”. Cambridge University Press.
- Fox, John, and Sanford Weisberg (2011). “An R Companion to Applied Regression”. SAGE Publications, Inc.
Machine Learning Synopsis
- Introduction to statistical learning, model selection and regularization methods (ridge and lasso)
- nonlinear models, tree-based methods, random forests
- support-vector machines (briefly), and clustering (k-means and hierarchical)