STAT 426: SAS PROGRAMMING
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Schedule
Module 0: Accessing SAS
Module 1: Getting Started
Module 2: Data Input and Output
Module 3: SAS Libraries
Module 4: Logic and Control
Module 5: Enhancing reports
Module 6: Iterative programming
Module 7: Data Validation
Module 8: Cleaning Data
Module 9: Graphs
Module 10: Combining datasets
Module 11: Macros
Module 12: Probability and simulation
Module 13: Introductory Statistical Analyses
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Intro class lectures
Coursework
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Labs
Code
Lab Submission Instructions
Clearly label all problems
Keep problems in order
Only one (1) document can be uploaded per submission
Only the most recent submission will be graded
Copy and paste R script and output into document
All pasted scripts and output MUST be clean (no errors, etc.; clean your code before running final time and then submit)
Word or PDF only (
all other file types will be ignored
)
Project Submission Instructions
If applicable, clearly label all problems
If applicable, keep problems in order
Only one (1) document can be uploaded per submission
Only the most recent submission will be graded
Projects will require R scripts, and output pasted into document
All pasted scripts and output MUST be clean (no errors, etc.; clean your code before running final time and then submit)
Word, PDF, or PPT only (
all other file types will be ignored
)
Failure to follow instructions will result in loss of up to all possible points
Home
Course Logistics
Contact
Syllabus
Links
Lectures
Schedule
Module 0: Accessing SAS
Module 1: Getting Started
Module 2: Data Input and Output
Module 3: SAS Libraries
Module 4: Logic and Control
Module 5: Enhancing reports
Module 6: Iterative programming
Module 7: Data Validation
Module 8: Cleaning Data
Module 9: Graphs
Module 10: Combining datasets
Module 11: Macros
Module 12: Probability and simulation
Module 13: Introductory Statistical Analyses
Review
>
Intro class lectures
Coursework
Instructions
Labs
Code