Interpreting CA biplots
Installation | Stacked Correspondence Analysis | Generating minimal dataset | Investigating different CA configurations using the Shiny application | Plotting CA biplot as ggplot object | Interpreting biplots for Correspondence Analysis | 1. Minimum example dataset | 2. Interpreting percentage of explained variability by dimensions, center average treatment and AE dot sizes | 3. Interpreting dimensions and associations between treatments and AEs | 4. Comparing treatments and avoiding misleading interpretations | References