| Lab |
Title |
Topics |
Lab Materials |
Data Files |
Other Potentially Useful Files |
| 1 |
Introduction to R Programming |
Libraries, some programming
technicalities, loading data, summarizing data, linear regression, some
LaTeX tips |
Lab 1,
Presentation |
anes1992.dta, anes1992.csv |
Code
for histograms, some humor, detailed intro |
| 2 |
Graphics in R |
Indexing and loops, the plot()
function in detail, other graphics functions. |
Lab 2,
Exercise, Presentation |
None |
margins,
colors,
complete plot |
| Maximum Likelihood Estimation in
R |
Introduction to Zelig, functions, optimization |
Lab 3,
Zelig example, Presentation |
None |
Normal regression
in
Zelig,
simulation
paper |
|
| 4 |
Logit and Probit in R |
Zelig for logit and probit, plotting functions, plotting inferences |
Misc,
Analysis |
CSES
subset |
Logit
and probit
regression in Zelig |
| 5 |
Evaluted Models of Binary
Variables |
Gradients for optim(), cross-validation in R, ROC and BIC for logit models |
gradient, cross-validation,
ROC curves |
None |
|
| 6 |
Ordered Logit and Probit in R |
Ordered logit and probit, categorical explanatory variables, contrasts |
Lab 6 |
None |
|
| 7 |
Unordered Logit and Probit in R |
Zelig for unordered categorical
models, Q&A |
None |
None |
|
| 8 |
Poisson Regression in R |
Zelig for Poisson regresson, Q&A |
None |
None |
|
| 9 |
Multi-Equation Models in R |
Zelig for multi-equation models, Q&A |
John Ahlquist's sample code, simulating distributions |
||
| 10 |
Multiple Imputation in R |
Amelia, other software, Q&A for class projects |
Amelia |
| Link |
Description |
| Wikipedia
on
R |
If you are like me, you turn to
Wikipedia as an introduction to people, ideas, math, and software. |
| Wikibooks on R
programming |
Excellent source on programming
in R with lots of examples. Organized by topic as well. |
| Simon
Jackman's Take on R |
Pages 20-22 of The Political Methodologist, vol,
11, no 2. Also see the two articles on computing with R that follow
Jackman's piece. |
| Installing
R
and
Text
Editors |
This .pdf gives an excellent set
of instructions for downloading and installing R and choosing a text
editor. It has equally good discussions of R for Windows and Mac. |
| Quick-R |
Quick-R is a website designed to
help users of other statistical packages such as Stata, SAS, and SPSS,
transition smoothly into R. This site does assumes little, but some
knowledge of statistics. |
| R manuals |
These are the official manuals
for the R packages. These are probably too technical for new R users,
but after becoming more familiar with the software, these are very
useful. |
| A
Course on R |
An online course maintained by
John Fox designed to introduce students to R. |
| Google's
R
Style
Guide |
A set of stylistic rules for
writing R scripts. These rules are designed by the R user community at
Google. Using a consistent style makes your code easier to read and
correct. |
| Text
editor
instructions |
Andrew Gelman's instruction for
setting up text editors for R in Windows |
| Zelig |
Gary King's software that allows
estimating and working with inferences from many common models in
political science. See Imai,
King,
and
Law
(2008). |
| Link |
Description |
| sample2.pdf,
sample2.tex |
The .pdf gives lots of useful
tips as well as code to create LaTeX documents. The .tex files gives
the LaTeX code used to produce the .pdf. Courtesy of Matt Golder.
Here
is a .zip file containing the .bib file and images necessary to
compile. Here
Matt provides the LaTeX code for a paper recently published in AJPS as
well as some information on posters. |
| LaTeX code for first lab |
This is just the LaTeX code for
the Beamer presentation slides for the first lab. |
