This workshop helps attendees understand the functions which are already present in R and also how someone can define their own function. Next it covers how to visualize data (create charts) for various data types. Finally, hypothesis testing will be covered which helps one identify patterns in the data.
Additionally, in a second paragraph, please mention the data set or materials that will be used in the workshop and briefly describe them. Also, briefly describe some of the things that will be done with the data/materials in the workshop, “i.e. load data into Jupyter Notebook and create basic data visualizations showing the relationship between [variable 1] and [variable 2].
Workshop goals
- Learn about built-in functions and how to create your own in R
- Learn about data visualization in R
- Learn about hypothesis testing in R
Pre-requisites
STOP: before starting this workshop, please attend the following Digital Scholarship Lab workshop(s) before completing this one:
OR make sure you’re comfortable with the following concepts (study suggestions in parentheses)
- Basics of R (resource 1)
- Data Types in R (resource 2)
- Data Structures in R
- Subsetting data in R
Workshop Content
| Section | Overview | Time Estimate |
|---|---|---|
| Setup | download and setup required software. Download data files/other required set up files | 0:20 min |
| Introduction | Introduction to Workshop and R Review | |
| Functions | Learn how to use built-in functions and create your own | |
| Visualization | Learn how to make basic plots in R | |
| Hypothesis Testing | Learn how to use statistical tests for hypothesis testing in R |
Survey
Thank you for attending this workshop or reading through the workshop material! If you could take 3-5 min to respond to our survey, we can continue to improve this workshop. We appreciate any and all feedback!
Next Up…
Check out these workshops after you’ve completed this one: