Data manipulation in R is a Course
Data manipulation in R
Ended Oct 30, 2019
2 credits
Spots remaining: 1
Full course description
Term: Fall 2019
Date: October 30, 2019
Time: 5:00pm - 7:00pm
Location: Torgerson 1120
Instructors: Kate Miller, Francis McCarty, Jennifer Huffman Van Mullekom
Presented By: Statistical Applications & Innovations Group (SAIG)
Zoom: https://virginiatech.zoom.us/j/3625663140
NON VT MEMBERS PLEASE REGISTER HERE: https://forms.gle/QgBpvU5b2ZRHHE8Y6
Description:
Do you have a dataset you need to clean up? Do you want help learning how to use R to clean data? If so, the SAIG Short Course: Data Manipulation in R is the right course for you! In this hands on and interactive course we will learn to do the following:
Date: October 30, 2019
Time: 5:00pm - 7:00pm
Location: Torgerson 1120
Instructors: Kate Miller, Francis McCarty, Jennifer Huffman Van Mullekom
Presented By: Statistical Applications & Innovations Group (SAIG)
Zoom: https://virginiatech.zoom.us/j/3625663140
NON VT MEMBERS PLEASE REGISTER HERE: https://forms.gle/QgBpvU5b2ZRHHE8Y6
Description:
Do you have a dataset you need to clean up? Do you want help learning how to use R to clean data? If so, the SAIG Short Course: Data Manipulation in R is the right course for you! In this hands on and interactive course we will learn to do the following:
• Subset a dataset
• Create new variables
• Arrange, sort, and rename variables
• Stack datasets
• Merge datasets
Very minimal coding experience is required. It is suggested that you attend the SAIG Short Course: Basics of R before attending this course.
Bring your laptop to the course and please install R and RStudio on your machine. You can download them from the following links:
https://www.r-project.org/ (Links to an external site.)Links to an external site.
https://www.rstudio.com/products/rstudio/download/ (Links to an external site.)Links to an external site.
If you already have R and RStudio on your laptop, make sure they are the most up to date versions. Older versions don’t have some of the functionality we will need for this course.
This course is jointly sponsored by the Statistical Application and Innovations Group (SAIG) and Networked Learning Initiatives (NLI)
Available by Zoom. Available in the National Capital Region (NCR)
Available by Zoom. Available in the National Capital Region (NCR)