Introduction to R (LT)

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'''

• Postgraduate students and staff
• Further details regarding eligibility criteria are available here

• 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 SSRMP's Basic Statistics stream, up to at least the level of BQA, and preferably the level of DMA.

• 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).

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For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.

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