Introduction to distance-based multivariate techniques, Euclidean, Mahalanobis and Bray-Curtis distances. Best learning at 1.5x speed, and at 2x for review before the quiz or exam (http://doi.org/10.1002/acp.3899). Expand description for time stamps.
00:00 Two-step analysis
01:01 Methods overview
02:54 Stress in ordinations
06:52 Stress relief
08:14 Calculating distances
10:44 Mahalanobis distance
12:43 Bray-Curtis distance
15:49 Implementation in R
17:37 Troubleshooting tips
Other videos in Playlist 12: https://www.youtube.com/playlist?list=PLse6YPNeyGM51zdOLrpqWmZe5SqbgkOz7
All other playlists (1-15): http://youtube.com/user/hamannlab/playlists
Lecture notes: http://tinyurl.com/mv690/notes/distance
Lab download: http://tinyurl.com/mv690/lab/5
Data for lab: http://tinyurl.com/mv690/lab/5/data
Shortcut to this video: http://tinyurl.com/mv690/videos/distance
Public course website, labs, data: http://tinyurl.com/mv690
University of Alberta, Department of Renewable Resources
