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Tue 21 Jan - Wed 22 Jan 2020
14:00 - 18:00

Venue: University Information Services, Titan Teaching Room 1, New Museums Site

Provided by: Social Sciences Research Methods Programme


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Introduction to R

Tue 21 Jan - Wed 22 Jan 2020

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
  • University Students from Tier 1 Departments
  • 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: 2

# Date Time Venue Trainer
1 Tue 21 Jan 2020   14:00 - 18:00 14:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Dr Wels Jacques
2 Wed 22 Jan 2020   14:00 - 18:00 14:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Dr Wels Jacques
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.

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Theme
Introductions to Software Packages

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