Jump to: Schedule/HW Data Handouts Splus
| Professor | Howard Seltman 232H Baker Hall 268-3938 hseltman@stat.cmu.edu Office hours: 1-2PM Week of 12/11 M,T,W,F |
|---|---|
| Class Schedule | Tuesday & Thursday, 3-4:20 p.m. DH 2105 |
| Syllabus & Policies | html form postscript form |
| Teaching Assistant | B. Ricky Rambharat A60-A Baker Hall 268-6289 ricky@stat.cmu.edu office hours: Wed 3:30-4:30, Wean 5202 |
| Date | Subject Material | Reading | Homework |
|---|---|---|---|
| Tu 8/29 | Course introduction, Examples | ||
| Th 8/31 | Introduction to Splus (Meet in Wean 5202) | MASS pp. 1-68: skim headings | Homework 1 Due Th 9/7 Solutions |
| Tu 9/5 | Exploratory data analysis | RwG pp. 1-23 | |
| Th 9/7 - Th 9/12 | Simple linear regression | RwG pp. 29-59 | Homework 2 Due Th 9/14 Solutions |
| Th 9/14 | Simple linear regression | RwG pp. 29-59 | Homework 3 Due Th 9/21 Solutions Excellent Report |
| Tu 9/19 | Multiple regression | RwG pp. 65-84 | |
| Th 9/21 | Splus Skills (Meet in Wean 5202) | Homework 4 Due Th 9/28 Solutions | |
| Tu 9/26 - Th 9/28 | Multiple regression | RwG pp. 65-84 | Homework 5 Due Th 10/5 Solutions (Excellent Pr. 4 |
| Tu 10/3 | Interaction / Dummy variables | RwG pp. 84-92 | |
| Th 10/5 | Example / Review | (skip RwG pp. 92-101) | (No Homework Due Th 10/12) |
| Tu 10/10 | MIDTERM EXAM | ||
| Th 10/12, Tu 10/17 | Regression criticism | RwG pp. 109-125 | Homework 6 Due Th 10/19 (pdf version) Solutions |
| Th 10/19, Th 10/24 | Outliers: influence and potential / fitting curves | RwG pp. 125-137, 145-163 | Homework 7 Due Th 10/26 Solutions |
| Th 10/26 | Nonlinear regression | RwG pp. 163-174 | Homework 8 Due Th 11/2 Solutions |
| Tu 10/31, Th 11/2 | Journal Articles | Peptide Drug Delivery Trickle Down |
Homework 9 Due Th 11/9 |
| Tu 11/7, Th 11/9 | Project description presentations | Group Project Selection Form | Homework 10 Due Th 11/16 |
| Tu 11/14, Th 11/16 | Robust regression | RwG pp. 183-212 | Homework 11 Due Th 11/30 |
| Tu 11/21 | Random effects and Mixed models | Tutorial Paper | (hw11 due 11/30) |
| Th 11/23 | Happy Thanksgiving! | |
|
| Tu 11/28 Th 11/30 | Logi(s)t(ic) regression | RwG pp. 217-242 | Homework 12 Due Th 12/7 1st e-mail project report due 2 PM Th 11/30 |
| Tu 12/5, Th 12/7 | Monte Carlo and Bootstrap methods | RwG pp. 303-326 | 2nd e-mail project report due 2 PM Th 12/7 |
| Tu 12/12 | Review for FINAL EXAM | Group project written report due 3 PM | |
| Wed. 12/20 1-4PM | FINAL EXAM | Baker Hall A53 |
| Link | Description | More info |
|---|---|---|
| concord1.dat | Concord household water use | concord1.txt |
| widgets.dat | Widget data for HW 1, problem 2 | |
| seapart.dat | Seabird data (partial); for HW 1, problem 3 | See RwG p. 61 |
| cane.dat | Sugar cane data for HW1, problem | cane.txt |
| cyclist.html | Cyclist data from 9/7 lecture | |
| homedat.html | Home resale data from 9/7 lecture | |
| fuel.dat | Consumer reports data for HW2, problems 1 and 2 | Columns: Weight Disp Mileage Fuel Type |
| lead.dat | Lead toxicity data for HW2, problem 3 | |
| televisions.dat | Life expectancy data for HW3 | televisions.txt |
| wages.dat | CPS wage data for 9/19 lecture and HW4 | wages.txt |
| cheese.dat | Cheese data for 9/21 S-plus skills class | cheese.txt |
| ozone.dat | Ozone data for 10/5 review | ozone.txt |
| salamander.dat | Salamander data for hw6 | See RwG p. 104 |
| cassava.dat | Cassava data for hw7 | See RwG p. 137 |
| deforest.dat | Deforestation data for hw8 #1 | See RwG p. 175 |
| solrad.dat | Solar radiation data for hw8 #3 | See RwG p. 177 |
| eggs.dat | Egg data for hw8 #5 | See RwG p. 180 |
| kob.dat | Kob data for hw11 #1 | See RwG p. 213 |
| titanic.dat | Titanic data for hw12 | Columns: Class, Adult, Male, Survive |
Handouts and In-Class Exercise
| Link | Description | More info |
|---|---|---|
| 0829.ps | 8/29 Notes and breakout | Article |
| Unix.ps | Unix Summary | |
| Sintro.ps | 8/31 Notes: Introduction to S-plus | Exercise solutions: Sintro.q |
| 0905.ps | 9/5 Notes: Graphs for univariate distributions (RwG Ch. 1) | |
| 0907.ps | 9/7 Notes: Simple Regression I (RwG Ch. 2) | |
| 0912.ps | 9/12 Notes: Simple Regression II (RwG Ch. 2) | |
| 0914.ps | 9/14 Notes: Simple Regression III (RwG Ch. 2) | |
| 0919.ps | 9/19 Notes: Multiple Regression I (RwG Ch. 3) | |
| sskills1.q | 9/21 S-plus skills command file #1 | |
| sskills2.q | 9/21 S-plus skills command file #2 | |
| Latex.ps | Intro to using Latex for reports | template.tex |
| 0926.ps | 9/26 Notes: Multiple Regression II (RwG Ch. 3) | |
| 0928.ps | 9/28 Notes: Multiple Regression III (RwG Ch. 3) | |
| 1003.ps | 10/3 Notes: Interaction and Dummy Variables (RwG Ch. 3) | |
| 1005.ps | 10/5 Notes: Example and Review (RwG Ch. 1-3) | |
| 1012.ps | 10/12 Notes: Assumptions I (RwG Ch. 4) | |
| 1017.ps | 10/17 Notes: Assumptions II (RwG Ch. 4) | |
| 1019.ps | 10/19 Notes: Influence and potential (RwG Ch. 4) | |
| 1024.ps | 10/24 Notes: Influence / curvilinear regression (RwG Ch. 4/5) | |
| 1026.ps | 10/26 Notes: Nonlinear regression (RwG Ch. 5) | |
| 1114.ps | 11/14 Notes: Robust Regression I (RwG Ch. 6) | |
| 1116.ps | 11/16 Notes: Robust Regression II (RwG Ch. 6) | |
| 1121.ps | 11/21 Notes: Mixed Models (Not in RwG) | |
| 1128.ps | 11/28 Notes: Logisitic Regression I (RwG Ch. 7) | |
| 1130.ps | 11/30 Notes: Logisitic Regression II (RwG Ch. 7) | |
| 1205.ps | 12/05 Notes: Computer Intensive Methods I (RwG Appendix 2) | |
| 1207.ps | 12/07 Notes: Computer Intensive Methods II (RwG Appendix 2) | |
| 1212.ps | 12/12 Notes: Review |
| Link | Description | More info |
|---|---|---|
| cheatsheet | Splus usage summary | |
| contents.html | Splus on-line tutorial | |
| SplusTips.html | Splus Tips and Links | |
| symplot.q | function: symmetry plot | |
| ps.q | function: copy a plot to a .ps file | and optionally print it |
| Sintro.q | commands: Sintro.q | Solutions to Splus Intro exercises |
| ndhist.q | function: histogram plus normal density | |
| rwgbox.q | function: boxplots in RwG style | |
| qplot.q | function: quantile plot | |
| qqn.q | function: quantile-normal plot | |
| scatbox.q | function: scattergram + marginal boxplots | |
| collin.q | function: check collinearity for a set of X's | R^2 for predicted each on all others |
| sum.step.q | function: exhaustive model selection by AIC, BIC or adj. R^2 | |
| mypairs.q | function: pairs plot with boxplots for few categories | |
| DW.q | function: Durbin-Watson test | |
| spruce.q | sample code: for hw6 (dummy/interaction plotting) | |
| influence.q | function: influence measures | |
| partreg.q | function: partial regression influence plots | |
| CookPlot.q | function: residual vs. fit plot with Cook Distance | |
| medplot.q | function: Exploratory band regression |