

Statistics 135  Lecture Materials
 Introductory Material (Sept 19)
 Sample S analysis (Sept 21)
 S basics (Sept 23)
 Input/Output & Data Frames (Sept 26)
 Matrices (Sept 28)
 Graphics  Part I: Basic Graphics (Sept
30)
 Graphics  Part II: Basic Graphics Continued
(October 3)
 Graphics  Part III: Basic Graphics Continued
(October 5)
 Trellis Graphics (October 7)
 Trellis Graphics Continued (October 12)
 Trellis Graphics Complete (October 14)
 LaTeX (October 17, 19, and 21)
 General Linear Model  lm (October 24)
 General Linear Model  lm  Part II
(October 26)
 General Linear Model  lm  Part III
(October 28)
 Generalized Linear Model Introduction
(October 31)
 Generalized Linear Models  glm
(November 2)
 Programming in S (November 4)
 Programming in S  Part II (November 7 &
9) (Updated November 8 with new material)
 Introduction to SAS (November 14)
 SAS Data Entry (November 16)
 Midterm Comments (November 18)
 SAS Data Manipulation (November 21)
 Maximum Likelihood in SAS (November 23)
 mle.sas, the SAS code
for today's lecture
 Summary Statistics in SAS (November 28 and 30)
 Shingles.sas, the SAS code
for today's lecture (a modification of the earlier version of the file).
 Summary Statistics in
SAS II (December 2)
 freq.sas, the SAS code
for today's lecture.
 Graphics in SAS (December 5)
 Modifying Graphics in SAS (December 7)
 Linear Models in SAS
(December 9 & 12)
 Shinglesreg.sas, the
SAS code for today's lecture involving the shingles dataset.
 margarineanova.sas, the
SAS code for today's lecture involving the margarine dataset.
 The lecture file (pages 38 to 53) and Shinglesreg.sas have both
been updated on Dec 11th.
 Model Selection Procedures
(December 14) (the last 14 pages are new and there are some minor
changes in what was originally posted.
 surgery.sas, the
SAS code for today's lecture involving the surgery dataset.
 Nonparametric regression
(December 16)
 missile.sas, the
SAS code for today's lecture involving the surgery dataset.
 Generalized Additive Models
(December 19)
 air.sas, the
SAS code for today's lecture involving the ozone dataset.
