INTD1169A-W16
Intro to R/Social Science
Introduction to R for Social Science Research
In this course we will become familiar with the R computing environment, an open source statistical package commonly used in the social sciences. We will work with R’s tools for exploratory data analysis (focusing on graphics) and statistical analysis. Depending on student research interests, different analytic techniques will be emphasized. Spatial analytic techniques will be covered. Students will also learn best practices for using help files and online sources to trouble-shoot problems. Sessions will include lecture and lab.
In this course we will become familiar with the R computing environment, an open source statistical package commonly used in the social sciences. We will work with R’s tools for exploratory data analysis (focusing on graphics) and statistical analysis. Depending on student research interests, different analytic techniques will be emphasized. Spatial analytic techniques will be covered. Students will also learn best practices for using help files and online sources to trouble-shoot problems. Sessions will include lecture and lab.
- Term:
- Winter 2016
- Location:
- McCardell Bicentennial Hall 317(MBH 317)
- Schedule:
- 1:00pm-4:00pm on Tuesday, Thursday at MBH 317 (Jan 11, 2016 to Feb 5, 2016)
1:30pm-2:30pm on Monday, Wednesday at MBH 317 (Jan 11, 2016 to Feb 5, 2016) - Type:
- Lecture
- Instructors:
- Athena Pantazis
- Subject:
- Interdepartmental
- Department:
- Interdepartmental
- Division:
- Interdisciplinary
- Requirements Fulfilled:
- DED WTR
- Levels:
- Undergraduate
- Availability:
- View availability, prerequisites, and other requirements.
- Course Reference Number (CRN):
- 11359
- Subject Code:
- INTD
- Course Number:
- 1169
- Section Identifier:
- A