BIOL2022 Module 3 (Mathew) Public

BIOL2022 Module 3 (Mathew)

Michael Jardine
Course by Michael Jardine, updated more than 1 year ago Contributors

Description

• #1 L19 Analyses for a complex world: multiple response variables • #2 L20 Fishing expeditions: PCA and CCA • #3 L21 Finding similarities among samples: clustering • #4 L22 Testing assemblage responses: MDS and beyond • #5 L23 Dealing with complex designs: PERMANOVA …and… Belonging in groups: Discriminant analysis and MANOVA • #6 L24 Beyond experiments: Rarefaction, Macroecology, Modelling …and… Getting the story straight: Integrating multivariate analyses

Module Information

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Module 3, Lecture 1 Headings on slides: • General principles • Data reduction • Assessing multivariate responses
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Module 3, Lecture 2 Outline: • Factor analysis • PCA • Case study – beer • Process for interpreting outputs
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Module 3, Lecture 3 Outline: • Distance matrices • Transformations and standardisations • Cluster analysis o Types of questions o Carrying it out o Interpreting it
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Module 3, Lecture 4 Headings: • Hypothesis testing • nMDS • ANOSIM • SIMPER
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Module 3, Lecture 5, Outline (for MANOVA part): • MANOVA o Uses in ecology o Comparison to ANOVA o Process and theory underpinning it o Choosing a test statistic o Corrections for multiple comparisons?
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Module 3, Lecture 6 Headings: • Rarefaction • Bayesian approaches • Frequentists vs Bayesians
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