Using R for Statistical Analysis - 2017

To enrol in this unit, you must be accepted into a course from the provider. Read before you start

Unit summary


  • Level of Study: Postgraduate
  • Study load: 0.125 EFTSL
  • Delivery method: Fully Online
  • Prerequisites: Yes
  • Duration: 13 weeks
  • Government loans available: FEE-HELP
  • Availability for 2017: SP1
  • Availability for 2018: SP1
  • Assessment: Assignments (40%) , Invigilated Exam (50%) - Learn more

Unit provided by

2017 Fees
Domestic 2,600.00
Domestic continuing 2,472.00
International 2,850.00
International continuing 2,722.00

Tuition fees are reduced for continuing registered SWI students.
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This unit introduces the basic data types and syntax used in the R software, which will allow students to use R to perform some basic object oriented programming. Some of the most commonly used probability distributions will be introduced, and the Generalized Linear Model (GLM), a powerful extension to the ordinary linear regression model, will be discussed at length. It will be shown that GLM is applicable in diverse settings involving different probability distributions. These models will be estimated in an R software environment. The concept of Maximum Likelihood Estimation (MLE) will also be introduced.

After successfully completing this unit, students will be able to:

  1. Demonstrate an understanding of the theory and principles of generalized linear models
  2. Arrange and consolidate large datasets in an R software environment
  3. Develop the ability to perform advanced programing in an R software environment
  4. Relate the basics of fundamental probability distributions to a range of GLM models needed for different types of data
  5. Explain GLM results in comprehensive reports
  6. Formulate practical and user friendly solutions to real life problems in the form of a statistical model in an R software environment.
  • Assignments (40%)
  • Invigilated Exam (50%)
  • Quiz (10%)
For more information on invigilated exams see Exams and results

Equivalent units

You cannot enrol in this unit if you have successfully completed any of the following unit(s) because they are considered academically equivalent:

  • HMS796 — Using R for Statistical Analysis

Mandatory prerequisites

You must have successfully completed the following unit(s) before starting this unit:

If you have completed equivalent study at another university, please contact a Student Advisor for advice.

  • Other special requirement — You will require the R software package which is available freely on the web.

In order to enrol in this unit, you must be accepted into one of the following courses:

Please visit the course details page and read the Requirements tab for more information about eligibility.

This unit addresses the following topics.

1R data types and syntax
2Introduction to commonly used probability distributions
3Introduction to Generalized Linear Models (GLM)
4Introduction to ionsMaximum Likelihood Estimation (MLE)
5Empirical applications of GLM in an R software environment

This unit is delivered using the following methods and materials:

Instructional Methods

  • Discussion Forum/Discussion Board
  • Online Quizzes/Tests
  • Online assignment submission
  • Podcasting/Lecture capture
  • Standard Media
  • Web links

Print based materials

  • Welcome Letter

Online materials

  • Printable format materials

This unit is a core requirement in the following courses:

This unit may be eligible for credit towards other courses:

  1. Many undergraduate courses on offer through OUA include 'open elective' where any OUA unit can be credited to the course. You need to check the Award Requirements on the course page for the number of allowed open electives and any level limitations.
  2. In other cases, the content of this unit might be relevant to a course on offer through OUA or elsewhere. In order to receive credit for this unit in the course you will need to supply the provider institution with a copy of the Unit Profile in the approved format, which you can download here. Note that the Unit Profile is set at the start of the year, and if textbooks change this may not match the Co-Op textbook list.

Textbooks are subject to change within the academic year. Students are advised to purchase their books no earlier than one to two months before the start of a unit.

Click on the titles of the listed books below to find out more:

Required textbooks

  • R for Everyone: Advanced Analytics and Graphics

    By:Jared Lander

    ISBN: 9780321888037


    Supplier:Go to The Co-op Bookshop

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