Announcement

Syllabus

Homework

• HW 0
  Homework 0
  

• HW 1 (Due Tuesday, September 17)
  Homework 1
  Data: simple1.csv
  

• HW 2 (Due Tuesday, September 24)
  Homework 2
  Data: heights.txt
  

• HW 3 (Due Tuesday, October 1)
  Homework 3
  Data: tombstone.txt
  

• HW 4 (Due Tuesday, October 8)
  Homework 4
  Data: wateruse.txt, cofreeway.txt, un.txt
  

• HW 5 (Due Tuesday, October 22)
  Homework 5
  Data: anova1.txt, anova2.txt, anova3.csv
  

• HW 6 (Due Tuesday, November 5)
  Homework 6
  

• HW 7 (Due Tuesday, November 12)
  Homework 7
  

• HW 8 (Due Tuesday, November 19)
  Homework 8
  Data: bodyfat.txt
  

• HW 9 (Due Tuesday, December 3)
  Homework 9
  Data: admitdata.csv, football.txt, count.hw.txt, poisson.hw.txt
  

• HW 10 (Due Tuesday, December 10)
  Homework 10
  Data: violshelt.txt, gxp.txt

Exam

• Exam
• Exam Solution

Resources

R Codes from Lecture

• Sep 24
• Oct 1; Data: wateruse.txt
• Oct 8; Data: anova1.txt
• Oct 22
• Nov 5; Data: snowgeese.txt
• Nov 12
• Nov 19; Data: ex2data.txt, xy.data.txt, ex4data.txt
• Dec 3
• Dec 10

• ANOVA
• CV
• GLM
• Dimension Reduction
• Multiple Comparisons

• CRAN (Official R site, including download of R)
• R Studio (You need to download both R above and R studio, if you want to use R studio)
• ALR4 Website (Official website for the textbook)
• R Primer for ALR4 (From ALR4 website)
• R Tutorial