A Slower Introduction to R

Friday, February 14 at 10:00 am - 11:30 am Add to Calendar 2025-02-14 10:00:00 2025-02-14 11:30:00 A Slower Introduction to R About the series The seven-part workshop series, "A Slower Introduction to R," is designed for UCSF researchers who intend to use R in their research. This is a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming and 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 90-minute session will involve short mini-lectures combined with hands-on exercises. Registration for each session requires UCSF MyAccess credentials. The Series: Each session is titled as a "How can I..." question. Please register for each session individually. January 24 - Do Math January 31 - Load Data February 7 - Perform Univeriate Analysis February 14 - Perform Bivariate Analysis February 21 - Make Data Visualizations with ggplot2 February 28 - Assign Missing Values or Define Dates March 7 - Create New Categorical Variables About 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 Slides will be available on the Course Learning Environment 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor ([email protected]) as soon as possible. UCSF Library [email protected] America/Los_Angeles public

About the series

The seven-part workshop series, "A Slower Introduction to R," is designed for UCSF researchers who intend to use R in their research. This is a (relatively) slow-paced introduction to R. It does not assume any prior exposure to R or computer programming and 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 90-minute session will involve short mini-lectures combined with hands-on exercises.

Registration for each session requires UCSF MyAccess credentials.

The Series:

Each session is titled as a "How can I..." question. Please register for each session individually.

January 24 - Do Math
January 31 - Load Data
February 7 - Perform Univeriate Analysis
February 14 - Perform Bivariate Analysis
February 21 - Make Data Visualizations with ggplot2
February 28 - Assign Missing Values or Define Dates
March 7 - Create New Categorical Variables

About 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

Slides will be available on the Course Learning Environment 24 hours prior to each session. Learners are welcome to use recording or closed-captioning features embedded in the Zoom platform. To request reasonable accommodation for this session, please email the instructor ([email protected]) as soon as possible.

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