This course is intended for students in the
Biomedical Research Ph.D. program.
Students in this course will learn the basics of data exploration, presentation, and analysis suitable for biomedical researchers. We will focus on
interpretation of data, and on presenting results in a form suitable for publication in peer-reviewed manuscripts.
Class time:
Monday, Wednesday, and Friday 10-10:50 am
Class meeting room:
Byrd Biotechnology and Science Center Room 102
Course director and instructor: James Denvir, Ph.D.
Email:
Office:
BBSC 336R
Phone:
304-696-7327
Course instructor: Andrew Nato, Ph.D.
Email:
Office:
BBSC 336M
Phone:
304-696-3562
This course will use online materials; there is no text book. Class time will typically involve students sharing
material they about which they were confused or had questions, with discussion, and a preview by the instructor(s)
of the material to be covered before the next class.
Students will use the R statistical computing environment
for data analysis and visualization. For help with R and RStudio, use the
R Resources button on the navigation bar, in addition to material provided in class.
| Assignment | Due Date | Model solution | R code |
|---|---|---|---|
| Creating an R Script | January 13th, 2023 | ||
| Computing measures of central tendency and spread | January 20th, 2023 | ||
| Comparing data sets to the normal distribution | January 23rd | ||
| Exploring box plots with ggplot2 | January 27th | ||
| Bar graphs with error bars | February 16th |
Installing R and R studio:
These are some (of very many) free online
tutorials available which make good background reading:
- Tutorials from the University of Edinburgh coding club (start with the two introductory R tutorials)
- Quick-R tutorial
- Introductory R tutorial from Kelly Black at UGA
- Data Carpentry tutorials: for Genomics, or for ecology (the contents are pretty similar for both)