Basic Statistical Computing Using R
Upskill and package up your computer and statistical knowledge. Form questions. Use SPSS software to select, modify, merge and apply data visualisation techniques. Investigate missing values and manage complex data files.
Your upfront cost: $0
Subjects may require attendance
- 02 Mar 2020
- 31 Aug 2020
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Students who successfully complete this subject will be able to:
- Clean and prepare unorganised data for analysis using R
- Visualise data graphically using R.
- Perform basic programming and user-defined function using R within the RStudio environment.
- Write R programs to perform statistical analysis conduct and interpret hypothesis tests
- Simulate data from different probability distributions.
- Perform and interpret linear regression using R.
- Analyse and interpret categorical data using R.
- Introduction to R and RStudio
- R data types and basic syntax
- Basic Principles of programming-functions, algorithms, loops
- Data summaries and graphics
- Hypothesis testing and comparison of means
- Probability distributions and simulation in R
- Linear regression
- Categorical data analysis
- Discussion forum/Discussion Board
- Online Quizzes/Tests
- Online assignment submission
- Web links
- Welcome letter
- Printable format materials
You cannot enrol in this subject if you have successfully completed any of the following subject(s) because they are considered academically equivalent:
EQUIVALENT UNIT: This subject was formerly known as STA60003 Basic Statistical Computing
- OtherDetails -
- Additional materials
- Other special requirement — You will require access to a recent version of SPSS - at least the SPSS Grad Pack.
This subject introduces R, one of the popular open source statistical programming languages commonly used in applied statistics and data science disciplines. Students will learn key programming principles of R and develop competence in programming in R which are essential for a statistician or data scientist to perform different types of statistical analyses.
Please note: assessment values are indicative only, details will be advised at the start of the subject.
- Assignments, Individual (40%)
- Invigilated Exam, Individual (50%)
- Online Quizzes (10), Individual (10%)
Using R for Introductory Statistics, 2nd ed.
Check the learning management system (LMS) of your university for textbook details.