Day 2

  1. Measures of similarity and distance, especially for community composition data [PL].
  2. Multiple linear regression. R-square, adjusted R-square, AIC, tests of significance [PL].
  3. Polynomial regression [DB].
  4. Partial regression and variation partitioning [DB].
  5. Back to main course page