Guide to R For SCU Economics Students

Web Version 3.0, September 11, 2015

This guide was designed for use by Economics majors at Santa Clara University. The Guide consists of tutorials that will help you learn how to conduct a variety of statistical analyses and manage your data in R. The tutorials refer to accompanying R scripts and sample data sets, which can be downloaded here: The file files42.zip contains all the tutorials and data sets.

For each tutorial, you should open the accompanying script in RStudio and follow the instructions in the tutorial step by step, running the lines of script as called for, and examining the results. The later tutorials build on the earlier ones, so do them in order.

History:

Version 1.0 was prepared by William A. Sundstrom and Bobby Fatemi, September 2012.
Version 2.4 edited by Michael Kevane
Versions 1.1 – 2.3 edited by William A. Sundstrom
Version 3.0 edited by William A. Sundstrom and Michael Kevane, with assistance from Derran Cheng

This is a work in progress. Feedback of any kind is welcomed! Please contact Bill Sundstrom, wsundstrom@scu.edu , or Michael Kevane, mkevane@scu.edu , Dept. of Economics, Santa Clara University.

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported license.

Introduction

1. Getting started

2. Scripts and data

3. Descriptive statistics

4. Graphs

5. Regression analysis

6. Multiple regression

7. Merging two data sets

8. Nonlinear regression

9. Binary dependent variables

10. Regressions with panel data