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Multivariate analysis considers many response variables simultaneously. This module will cover many of the common techniques used to analyze multivariate data: clustering techniques, classification techniques, ordination techniques such as principal components analysis and graphical techniques such as multidimensional scaling. The emphasis will be on understanding the methodology, applying it using statistical software and the subsequent interpretation of standard output. This course will make use of the free statistical software R (www.r-project.org).
About this Module
Student Effort Hours:
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Requirements, Exclusions and Recommendations
Not applicable to this module.
Module Requisites and Incompatibles
Not applicable to this module.
Assessment Strategy
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Carry forward of passed components
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| Terminal Exam |
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| Name | Role |
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| Ms Sinead Mcparland | Lecturer / Co-Lecturer |
| Mr Ganesh Babu | Tutor |
| Ms Laura Craig | Tutor |
| Mr Brian Hassett | Tutor |
| Koyel Majumdar | Tutor |