Epi/Biostats Winter Institute - Introduction to R for Public Health Researchers 140.604.73
Class Website: http://jhudatascience.org/intro_to_R_class/
CoursePlus: https://courseplus.jhu.edu/core/index.cfm/go/syl:syl.public.view/coid/16733/
Zoom link will be emailed to students.
Day/Time: Jan 10 - 21: 8:30AM-11:50AM on Zoom
Instructors: Carrie Wright (cwrigh60@jhu.edu), Ava Hoffman (ava.hoffman@jhu.edu), and Candace Savonen (csavone1@jhu.edu)
TAs: Grant Schumock (gschumo1@jhmi.edu) and Qier Meng(qmeng11@jhmi.edu)
Communication will mainly occur through Slack and we will email you about how to connect to slack.
Overview: This course will provide “hands-on” training for learning how to analyze data in the R statistical software package. We will cover data input/output, data management and manipulation, and how to make useful and informative graphics
Course Format: Each class will consist of 2 or 3 hour-long modules: each module features a lecture and an R programming lab, where students apply the skills taught in the modules to real data.
By the end of the course, students should be comfortable:
| Time (EST) | Content |
|---|---|
| 8:30am - 9:30am | Session 1 |
| 9:30am - 9:40am | Break |
| 9:40am - 10:40am | Session 2 |
| 10:40am - 10:50am | Break |
| 10:50am - 11:50am | Session 3 |
In recognition of Martin Luther King Jr. Day, there will be no class on Monday January 17th 2022. There is an assignment due before class to install software and we recommend completing HW 1 (uploading a screenshot showing that you finished the Dataquest module indicated below) before class, but all other assignments will be due January 26th. You are welcome to turn assignments in earlier if you wish.
All assignments are due Wednesday, Jan 26, 2022 at 11:59pm EST.
Note: only people taking the course for credit must turn in the assignments. However, we will evaluate all submitted assignments in case others would like feedback on their work.
Submit each assignment to the designated Drop Box on CoursePlus.
You should complete the following:
This project should entail:
You may use one of these public datasets, a different public dataset, or your own data for the project. If using your own dataset, be sure any sensitive information is protected.
Example projects can be found with the source code: Rmd, and the output html here.
See the guidelines/instructions for final projects.
We would like to create an open, safe, welcoming, diverse, inclusive, intellectually stimulating, and hopefully fun class experience.
We strive to be a space in which individual differences are respected, so that each individual can reach their fullest potential.
This applies to emails, surveys, Slack, Zoom, office hours, meetings with other students, instructors, or TAs.
Please reach out to a TA or instructor if you witness or experience a violation of the class guidelines or other JHU codes of conduct.
The University has developed avenues for reporting and for seeking help including:
● JHU Sexual Assault Helpline, 410-516-7333 (confidential) ● Campus Safety and Security, 410-516-7777 ● University Sexual Assault Response and Prevention website ● Johns Hopkins Compliance Hotline, 844-SPEAK2US (844-733-2528) ● JHU Office of Institutional Equity 410-516-8075 (nonconfidential) ● Johns Hopkins Student Assistance Program (JHSAP), 443-287-7000 ● University Health Services - Mental Health (UHS-MS), 410-955-1892 ● The Faculty and Staff Assistance Program (FASAP), 443-997-7000