Basic Statistical Computing 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

Equivalent subjects

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

• SWI-HMS772 (Not currently available)

Others

EQUIVALENT UNIT: This subject was formerly known as STA60003 Basic Statistical Computing

Additional requirements

• Other requirements -
  • 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%)

Current study term: 28 Aug 22 to 27 Nov 22