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Fri 3 Nov, Fri 10 Nov 2023
10:00, ...

Venue: Titan Teaching Room 2, New Museums Site

Provided by: Cambridge Research Methods


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Introduction to R (MT)

Fri 3 Nov, Fri 10 Nov 2023

Description

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'''

Target audience
  • Postgraduate students and staff
  • Further details regarding eligibility criteria are available here
Prerequisites
  • 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.
Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Fri 3 Nov 2023   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Y. Yang
2 Fri 3 Nov 2023   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2, New Museums Site map Y. Yang
3 Fri 10 Nov 2023   10:00 - 12:00 10:00 - 12:00 Titan Teaching Room 2, New Museums Site map Y. Yang
4 Fri 10 Nov 2023   16:00 - 18:00 16:00 - 18:00 Titan Teaching Room 2, New Museums Site map Y. Yang
Reading
  • 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.
Assessment

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

How to Book

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).

Moodle

Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

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.

For more information, and links to specific Moodle module pages, please visit our website

Frequency

This module runs once in Michaelmas Term, and once in Lent.

Theme
Software Packages

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