Welcome to the Political Science 51 Homepage

Professor B. Jones

Department of Political Science

University of California, Davis

Davis, CA 95616

 

Course Syllabus

Problem Sets:

Interpretation of Two Studies

Using R

Simulations and Samples (Assignment due data is INCORRECT. It is due Thursday, Nov. 12!)

Univariate Statistics and Plotting in R

      Data for HW 4 (Excel .csv format)

      Data for HW 4 (Stata format)

      Data for HW 4 (Plain Text format)

 

 

Lecture Slides (Powerpoint/Beamer format)
Preliminaries

Theory, Hypotheses, and Data

Another Introduction to R (written by M. Easton)

Simpson's Paradox and the Concept of "Lurkers"

The Concept of Measurement

Introduction to Samples and Sampling

Simulations and Sampling

 

Old Exams/Study Guides

Study Guide for First Exam

Example of Midterm from Previous Year

 

R Materials

Introduction to R (Slides from in-class presentation)

Complete Fox Illustration for Mac (R Script to be used with Duncan data)

Complete Fox Illustration for PC (R Script to be used with Duncan data)

Duncan data (from Fox)

 

R Script for analysis of 2008 Presidential Exit Poll Data (Used in-class)

Stata file with 2008 Exit Poll data (to be used with R script above)

 

R Script for analysis of 2008 Election data on Ca. counties (requires use of calcounty.dta, a

Stata data set.  To read in this format, see the R script; you will use library(foreign) and the read.dta

function).

Stata dataset on 2008 election by California counties

 

R script for plotting x-y plots (includes hate crime data)

 

Data:

Information on R

 

R is a freely available statistical computing environment.  To use R:

1. Download package (choose Mac, Windows, etc.)

2. The program should be self-executing.

3. Open R. You’ll see a blank console.

4. Move cursor to “file” in toolbar and click.

5. Then click on “New Script.”

6. A window will open. 

7. Type your R code there.

8.  To run the code, highlight the text of the code and right click and

 select “run line or selection.”

9. This will execute the commands.

10. Output will show up in console window.

11. I will post my R script.  You can cut and paste that into the script window and

run it if you want to.

 

To access R, see the website below.

 

Websites we will use this quarter:

CRAN: http://cran.r-project.org/

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