Introduction to R
This module introduces the use of R, a free programming language originally developed for statistical data analysis. In this course, we will use R through R Studio, a user-friendly interface. Students will learn:
- Ways of reading data into R
- How to manipulate data in major data types
- How to draw basic graphs and figures with R
- How to summarise data using descriptive statistics
- How to perform basic inferential statistics
This module is suitable for students who have no prior experience in programming, but participants will be assumed to have a good working knowledge of basic statistical techniques.
For an online example of how R can be used: https://www.ssc.wisc.edu/sscc/pubs/RFR/RFR_Introduction.html'''
- A good working knowledge of descriptive statistics (e.g., the mean and standard deviation).
- Students who are not familiar with basic statistical techniques are advised to take modules from the SSRMC's Basic Statistics stream, up to at least the level of BQA, and preferably the level of DMA.
Number of sessions: 2
| # | Date | Time | Venue | Trainer | |
|---|---|---|---|---|---|
| 1 | Tue 15 Jan 2019 14:00 - 18:00 | 14:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | Barbara McGillivray |
| 2 | Wed 16 Jan 2019 14:00 - 18:00 | 14:00 - 18:00 | Titan Teaching Room 1, New Museums Site | map | Barbara McGillivray |
- Lander, J. (2014). R for everyone: Advanced analytics and graphics. Upper Saddle River, NJ: Addison-Wesley.
- Matloff, N. (2011). The art of R programming: A tour of statistical software design.
- Field, A., Miles, J., & Field, Z. (2012). Discovering statistics using R. London: Sage Publications.
There may be an online open-book test at the end of the module; for most students, the test is not compulsory.
Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).
Booking / availability