Stat 705 - Spring 2020

Welcome to Stat 705, Data Analysis II. This page contains updates to the course syllabus, computer notes from class and homework assignments. Send any questions to grego@stat.sc.edu

Page revised on 12/30/2019

• Syllabus

• Notices

• Homework
  • Homework 1

  • Homework 2 (See Class Exercise 4 as well )

  • Homework 3

  • Homework 4

  • Homework 5

• Class Exercises
  • Class Exercise 1

  • Class Exercise 2

  • Class Exercise 3

  • Class Exercise 4

  • Class Exercise 5 (in class)

  • Class Exercise 6

  • Class Exercise 7

  • Class Exercise 8

  • Class Exercise 9

  • Class Exercise 10 (in class)

  • Class Exercise 11

• Lectures
  • Weighted least squares regression Chapter 11

  • Robust and quantile regression Chapter 11

  • Local regression and bootstrap Chapter 11

  • Single-factor studies Chapter 16

  • Analysis of factor-level means Chapter 17

  • ANOVA diagnostics and remedial measures Chapter 18

  • Two-factor studies Chapter 19

  • Two-factor studies (one case per treatment) and RCBD Chapter 20 and Chapter 21

  • Analysis of Covariance Chapter 22

  • Two-factor studies with unequal sample size and multi-factor studies Chapter 23 and Chapter 24

  • Random and mixed effects models Chapter 25

  • Repeated measures and related designs Chapter 27

  • Contingency tables

  • Logistic regression Chapter 14

  • Poisson regression Chapter 14

  • Nonlinear regression Chapter 13

  • Generalized Linear Mixed Models

  • Generalized Additive Models

• Computer Code, Data Sets and Notes
  • Tab-delimited text file of sample of Fall 2008 cohort

  • Tab-delimited text file of same data set as above with additional variables

  • Tab-delimited text file 2009 follow-up to sample of Fall 2008 cohort

  • Tab-delimited text file 2010 follow-up to sample of Fall 2008 cohort

  • Excel workbook for bacterial water quality data

  • Comma-delimited text file for SCDOT 2012 traffic count data

  • SAS code for Chapter 11 WLS and Ridge Regression lecture

  • R code and data set for Chapter 11 ridge regression

  • SAS code and data set for Chapter 11 robust regression lecture

  • SAS code for Generalized Additive Models lecture

  • SAS code and data set for Local Robust Regression lecture

  • R code for bootstrapping and local smoothing

  • SAS code for Feral Hog rooting activity example in Chapter 16

  • SAS code for Feral Hog rooting activity example in Chapter 17

  • SAS code for diagnostics and remedial measures in Chapter 18

  • SAS code for two-factor studies in Chapter 19

  • R code for interaction plots in Chapter 19 slides

  • SAS code for Tukey test for additivity and RCBD in Chapters 20 and 21

  • SAS code for ANCOVA code in Chapter 22

  • SAS code for unbalanced and multifactor studies in Chapters 23-24.

  • SAS code for random and mixed effects model in Chapter 25

  • SAS code for repeated measures models in Chapter 27

  • SAS code for contingency tables

  • SAS code for logistic regression in Chapter 14

  • SAS code for Poisson regression in Chapter 14

  • SAS code for nonlinear model regression in Chapter 13

  • R code for nonparametric regression in Chapter 13

  • Tab-delimited text file Yellowfin Tuna data

  • SAS code for Generalized Linear Mixed Models

  • Tab-delimited text file for Ache hunting data

  • SAS code for Generalized Additive Model fit to Horseshoe Crab data

  • R code for Generalized Additive Model fit to Challenger data

  • SAS code used in COVID-19 lightning talk

• Exams
  • 2016 Test with tab-delimited data sets for Question 1 and Question 2

  • 2020 Test with Excel Workbook for Questions 1-3

  • 2016 Final Exam with Excel Workbook for Questions 1-2

  • 2020 Final Exam

• Project
  • Proposal and Project guide

  • Oral Report Guidelines

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