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Descriptive statistics with R
R is often used for quantitative analysis in both the humanities and sciences. This workshop demonstrates how to produce descriptive statistics with R. Participants are expected to already be familiar with R and the RStudio environment.
The workshop is one hour, followed by an optional 30 minute practice period to reinforce what you learned or consult with the instructors. An outline of the workshop is available at https://ubc-library-rc.github.io/descriptive-stats/
To participate fully you will need to install the latest versions of R and RStudio on your computer before the workshop:
- Install R from https://cran.rstudio.com/
- Install RStudio from https://rstudio.com/products/rstudio/download/#download
About this workshop series
Descriptive statistics with R is one of six R workshops offered by the UBC Library Research Commons. Each one-hour sesson introduces a particular task or application in R, followed by an optional 30 minute practice period with support from the instructors. The series goal is to introduce participants to the data analysis and visualization potential of R and to encourage further self-paced exploration. Other workshops in the series:
- Introduction to R and RStudio (beginner), May 10, 1-2pm
- Data manipulation with dplyr, May 25, 10:30-11:30
- Data visualization with ggplot2, Jun 14, 1-2pm
- Join tables in R, Jul 13, 11am-12pm
- Loops and conditional statements in R, Jul 19, 1-2pm
If you have any questions, concerns, or accessibility needs please email research.commons@ubc.ca
To keep up-to-date with all of the workshops, consults, and events, subscribe to the UBC Library Research Commons monthly newsletter.
- Date:
- Thursday, June 29, 2023
- Time:
- 11:00am - 12:00pm
- Audience:
- All Graduate
- Categories:
- Data Research Commons
- Presenter(s):
- Ashley (Yue) Mao, Jeremy Buhler