Section 1 Analysis of Variance using R: Part 2

1.1 Contents

  • General modelling approach
    • Data structure
    • Hypothesis
    • Model
    • Model assumptions
    • Model fitting
    • Interpretation of model outcomes
    • Checking model assumptions
    • Predictions
    • Mutiple comparisons

  • Two-way analysis of variance

  • Two-way analysis of variance with interaction

  • Concept of blocking
    • Paired t-test
    • One-way analysis of variance with blocking
    • Two-way analysis of variance with blocking
  • Multiple error structure
    • Analysis of variance with different strata

  • Other experimental designs

  • Experimental Power