|1: Jan 19, 21||Syllabus; |
Introduction & overview
|week1-example.R||Table of select probability distributions and applications:
|2: Jan 26, 28||Data and Graphics in R, |
HW1: Chapter1-assignment.pdf (Due 1/28)
|Data and Graphics in R |
Prob. & Statistics Review
|Probability Notes: probability-review.pdf
HW2: Rmd or PDF
Solutions: PDF or Rmd
|3: Feb 2, 4||Simple Linear Regression (Ch. 2 of the text).||SLR Continued |
|4: Feb 9, 11||SLR Continued, |
Confidence & Prediction Intervals. Slides: PDF
Optional HW: PDF or Rmd
|Finish Ch 2 |
ANOVA, Categorical SLR.
HW 3: #1,2,4,7 in Ch. 2. Due 2/18
|Note: Thursday slides were expanded to include (1) notes on using qt() in R, and (2) ANOVA details.|
|5: Feb 16, 18||Diagnostics and Remedial Measures for SLR (Ch 3) |
R Files: week5a.zip
|(Ch 3 contd) |
|R code: SLR-residuals.R, SLR-diagnostics.R|
|6: Feb 23, 25||Slides: PDF |
|Transformations (Ch 3.2)|
|7: Mar 1, 3||Transformations (Ch 3.2) |
|Exam 1 Review |
Finish Ch 3, start Ch 4
|Practice Exercises for Exam 1:
|8: Mar 8, 10||Exam 1 (in class)||Ch 4|
|9: Mar 15, 17||mlr-sim.R|
|10: Mar 22, 24|
|11: Mar 29, 31||Ch. 5 |
|Data in R |
|12: Apr 5, 7||Week12A.pdf |
|13: Apr 12, 14||Ch.6 |
|Ch. 7 |
|14: Apr 19, 21||GLMs & Logstic Regression |
|GLM & Logsitic Regression |
GLMb.Rmd, GLMc.Rmd, GLMd.Rmd
|15: Apr 26, 28||Multilevel & Mixed Effects Models||Mixed Effects Models, |
Please Read: hints-updates.txt
Due Tuesday, 3 May, before class.
|16: May 3||Tuesday: Last Class! |
Exam 2 DUE at start of lecture.
|No Class (1st day of Finals) |
Final Project Due Friday, 6 May
|No Meeting on 10 May.
Final Schedule: 5-7pm, Tuesday, May 10.
(PDF of Spring 2016 Final Week Schedule).