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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.
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