MATH6152 Statistical Computing
Introduction to the statistical packages SAS and R. The module will consist of two sets of lectures and associated computer workshops, one each in SAS and R.
Aims and Objectives
To introduce a range of statistical methods implemented on computers; to give practice in applying methods and interpreting results from them; to develop the use of computers with particular emphasis on R and SAS in the collection, validation, analysis and presentation of data; to help develop the knowledge and experience necessary to implement statistical computing methods.
Having successfully completed this module you will be able to:
- Being able to enter and manipulate data within SAS and R
- Being able to perform basic statistical analyses using SAS and R and interpret the output
- Being able to find information on how to perform advanced statistical analyses using SAS and R, and then undertake such analyses.
• Data manipulation in R and SAS • Using the Help menu • Writing functions in R • Conditional execution and loops in R • Graphics in R • Apply the above programming skills in R to problems arising in data analysis • Interpretation of R output • Important commands in SAS, and their syntax • Data analysis in SAS • Interpretation of SAS output
Learning and Teaching
Teaching and learning methods
12 lectures (6 in R, 6 in SAS) and 12 computer labs (6 in R, 6 in SAS)
|Total study time||150|
Resources & Reading list
Der, G. and Everitt, B.S. (2006). Statistical Analysis of Medical data Using SAS.
Costs associated with this module
Students are responsible for meeting the cost of essential textbooks, and of producing such essays, assignments, laboratory reports and dissertations as are required to fulfil the academic requirements for each programme of study.
In addition to this, students registered for this module typically also have to pay for:
Please also ensure you read the section on additional costs in the University’s Fees, Charges and Expenses Regulations in the University Calendar available at www.calendar.soton.ac.uk.