Course dates, Winter Term 2009 |
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Date |
Instructor |
Topics, links, etc. |
5-Jan-09 | Course organization (Labs RW109, Lectures RW229) | |
7-Jan-09 | Dickinson | Lecture: Data types and an introduction to matrix algebra; multiplication of vectors and matrices, and the R-package |
12-Jan-09 | Dickinson | Lab: Data types and matrix operations with the R package |
14-Jan-09 | Dickinson | Lecture: Determinants, matrix inversion, eigenanalysis, and Q- versus R-mode analyses |
19-Jan-09 | Dickinson | Lab: R: looping, functions, Q-mode resemblances, and Principal Coordinates Analysis (PCoA) |
21-Jan-09 | Dickinson | Lecture: Q-mode analyses continued - cluster analyses |
26-Jan-09 | Dickinson | Lab: Q-mode resemblance functions, PCoA, and cluster analysis (see also: The Clustering Calculator and Tree Toy; note that in the Clustering Calculator you have to select the option to output a "Phylip/DRAWTREE-readable version of the tree" to be able to use Tree Toy) |
28-Jan-09 | Jackson | Lecture: Ecological diversity and abundance |
2-Feb-09 | Jackson | Lab: Resampling |
4-Feb-09 | Jackson | Lecture: Sampling |
9-Feb-09 | Jackson | Lab: Permutation tests, regression analysis, and dealing with missing data |
11-Feb-09 | Midterm Test (2h) - RW109 | |
16/20-Feb-09 | Reading Week | |
23-Feb-09 | Dickinson | Lab: Evaluating clustering results; MANOVA (discriminant analysis) |
25-Feb-09 | Dickinson | Lecture: R-mode analyses - Principal Components Analysis (PCA) and canonical analyses |
2-Mar-09 | Dickinson | Lab: PCA, canonical analyses, and related topics (PCA biplots, etc.) |
4-Mar-09 | Dickinson | Lecture: Canonical Correspondance Analysis |
9-Mar06 | Dickinson | Lab: Canonical Correspondance Analysis - the VEGAN package in R |
11-Mar-09 | Jackson | Lecture: TBA |
16-Mar-09 | Jackson | Lab: TBA |
18-Mar-09 | Jackson | Lecture: TBA |
23-Mar-09 | Jackson | Lab: TBA |
25-Mar-09 | Jackson | Lecture: TBA |
30-Mar-09 | Jackson | Lab: TBA |
1-Apr-09 | Jackson | Lecture: TBA |
6-Apr-09 | Jackson | Lab: TBA |
8-Apr-09 | Project presentations |
Resources available here include
Matrix multiplication (requires Java)
Determinants, matrix inversion, and eigenanalysis (requires Java)
Principal Components Analysis - 1 (requires Java)
Principal Components Analysis - 2 (requires Java)
Q-mode resemblance coefficients and Principal Coordinates Analysis (requires Java)
Levene statistics (requires Java)
Bibliographic resources include
Carroll, J. D., Green, P. E. & A. Chaturvedi (1997) Mathematical Tools for Applied Multivariate Analysis. Elsevier.
Please see also the U of T Library Catalog for locations of copies of these books, including earlier editions.
For information about this page, please contact Tim Dickinson; University of Toronto students please visit the course Blackboard site.