R: How can I perform univariate analysis? Online
About the session
This session will cover:
- function arguments
- summarizing continuous variables
- confidence intervals for population means
- counts and percents for categorical variables
- confidence intervals for percents
This is part of an introductory workshop series on R. 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.
About the series
This is the third session of a seven-part workshop series, A Slower Introduction to R. The series is designed for UCSF researchers 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.
Registration for each session requires UCSF MyAccess credentials.
About the instructor
The instructor, Yea-Hung Chen, PhD, MS, has 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 [event contact name] at [event contact email] as soon as possible.
Data Science Instructor