Manipulating and Joining Data in R with dplyr
Manipulating and Joining Data in R with dplyr
Prerequisite: Introduction to R for Absolute Beginners or some experience using R.
The dplyr package is a popular R package that people often use to manipulate and join datasets. You will need to have either some basic knowledge about using R or have previously attended our Introduction to R for Absolute Beginners workshop in order to take this one. You will learn to use several functions, including mutate(), filter(), select(), summarize() and group_by(), in dplyr to manipulate data for the first half of the workshop. For the second part of this workshop, you will learn the join functions (e.g. left_join(), right_join(), inner_join(), semi_join(), anti_join(), full_join(), bind_rows() and bind_cols()) and set operations (e.g. union(), intersect() and setdiff()) in dplyr to combine two datasets. You will have plenty of opportunities to do hands-on activities on your laptop and work on datasets provided by instructors.
- Date:
- Thursday, October 10, 2019
- Time:
- 1:00pm - 3:00pm
- Location:
- BLC 5015/5017
- Campus:
- Homewood campus
- Audience:
- Faculty/Staff Students
- Presenter:
- Chen Chiu, Reina Murray, Bonni Wittstadt
- Categories:
- Data Services
