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STAT540

Fall 2024

Computing in Statistics

Instructor: Yen-Yi Ho

Office: LeConte 216A

Class Meetings:

Monday/Wednesday 2:20p - 3:35p

Classroom: Close-Hipp 436

Dr. Ho's office Hours: Thursday afternoon 16:00-17:30PM, Friday afternoon 14:00-15:00 PM or by appointment (LeConte 216A)

Email: hoyen@stat.sc.edu

Teaching Assistant: Kaniz Fatema (KFATEMA@email.sc.edu)

TA office hours: MW 12:30PM-2PM, Tuesday 11:30PM-1PM, LeConte 111

Textbook:

1. Basics of R: A Primer by Don Edwards (Required)

2. The Little SAS book: A Primer, 6th edition, by Delwiche and Slaughter (Required)
(earlier editions are probably OK too)

3. Introduction to Data Science: Data Wrangling and Visualization with R by

Rafael A. Irizarry (Required)

Older Free PDF version available here

4. John Verzani's SimpleR notes.

Resources:

1. Instruction for downloading R and R Studio

3. Enroll in SAS OnDemand: After going to the entry page, create a student account. You will receive an enrollment link in an email from the course instructor. Once your account is created, you can access SAS Studio by going to the Control Center:

4. SAS OnDemand Control Center

5. This is Statistics.org

Annoucements:

Approximate course outline: (Lecture notes will be updated often)

Most of my SAS slides were shamelessly borrowed from Dr. David Hitchcock.

Date	Weekly topic	Homework	R/SAS code
Week Aug 19	Syllabus Calendar Getting Started with R and R Studio R Markdown (Chapter 20.2 in Rafa)	Homework 1 Homework Template dataP1HW2.txt Rmarkdown cheat sheet
Week Aug 26	R Basics I Chapter 2: Objects, Modes Assignments (Don) Chapter 3: Getting Help Chapter 4: Managing Objects Chapter 9: NAs, Coercion, Subsetting, Sorting, and Indexing	Homework 1 Due (8/28 before class) Homework 2	Rcode_Basics1.R ALLcode.R
Week Sep 02	Sep 02: Labor Day R Basics II Chapter 5: Getting Data Into R Chapter 6: Getting Results Out of R	brainbod.txt	Rcode_Basics2.R
Week Sep 09	Programming Basics Chapter 8: Logical Objects and Conditional Expression Chapter 12: Defining Functions, Name Space Chapter 10: For Loops, Vectorized Function	Homework 2 Due (9/11 before class) Homework 3	programming-basics.R experiment-design.tsv programming-basics_9_16.R
Week Sep 16	The tidyverse (Chapter 4 in Rafa) Data Visualization I Data Visualization Principles FlowingData Data Exploration Through Time	Homework 3 Due (9/18 before class) Homework4 baby.txt	tidyverse.R permutation.R
Week Sep 23	Data Visualization II ggplot2 (Chapter 8 in Rafa) Data Visualization Case Studies (Chapter 10 in Rafa)	Homework 4 Due (9/25 before class) Homework 5	Rcode_Chapters11&12.R Visualization ggplot2 ggplot2 cheat sheet ggplot2.R
Week Sep 30	Data Wrangling Extract data from the web (Chapter 15 in Rafa) String processing (Chapter 16 in Rafa) Text analysis (Chapter 17 in Rafa)	Homework 5 Due (October 2 before class)
Week Oct 07	SAS OnDemand Invitation SAS, Chapter 1 SAS, Chapter 2	Mid-term take-home exam winequality-white.csv winequality-red.csv winequality-names.txt Wine paper Electric Vehicle
Week Oct 14	SAS Chapter 3	Mid-term take-home exam due Oct 16 before class	SAS codes in Chapter 1.txt SAS codes in Chapter 2.txt blackjack.R
Week Oct 21	SAS Chapter 4	Homework6 tshirt.txt districtdata.txt champ36pres.txt Homework6 Due Oct 23 before class Homework 7 baseballroster.txt moviereview.txt	SAS codes in Chapter 3.txt
Week Oct 28	SAS Chapter 6		SAS codes in Chapter 4.txt
Week Nov 04	SAS Chapter 7	Homework7 Due Nov 6 before class Homework 8 Pima.txt tlc.txt	SAS codes in Chapter 6.txt
Week Nov 11	SAS Chapter 5 SAS Chapter 8	Final Project Proposal Due Nov 11 before class	SAS codes in Chapter 5.txt
Week Nov 18	Final Project Presentation	Homework 8 Due Nov 20 before class	SAS codes in Chapter 7.txt
Week Dec 02	Final Project Presentation	Final Project Instruction Final Project Proposal format Final Project City Final Project template Final Project format Final Project Presentation Instruction	SAS codes in Chapter 8.txt
		Final Project Due Wed December 11, Friday before 5PM.