About the series

A Slower Introduction to R is designed for UCSF faculty, staff, and students who intend to begin using R in their research. The series is intended to be a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming. The series has been designed to help learners approach common data-related tasks, and will draw on data examples from the health sciences (including public health and medicine). 

Each session (scheduled for 1.5 hours, but we may finish earlier on occasion) will involve short mini lectures, interspersed with hands-on exercises.

You are welcome to attend even if you unable to attend prior sessions. Please do, however, take a look at content from the prior sessions to ensure that you are caught up. 

Registration for each session requires UCSF MyAccess credentials.

Sessions

• Session 1: How can I do math?
• Session 2: How can I import data?
• Session 3: How can I perform univariate analysis?
• Session 4: How can I perform bivariate analysis?
• Session 5: How can I make visualizations with ggplot2?
• Session 6: How can I subset data and define missing values?
• Session 7: How can I create new categorical variables?

About the instructor

The instructor, Yea-Hung Chen, PhD, MS, has more than 10 years of experience teaching R to the UCSF community. He designed and taught UCSF's first-ever R course (Biostat 213) and taught the introductory biostatistics course for UCSF's MS in Global Health program (GHS 207). 

Accessibility statement

UCSF welcomes all participants to our events. If you need a reasonable accommodation to participate in this event because of a disability, please contact Yea-Hung Chen at Yea-hung.Chen@ucsf.edu as soon as possible.