Jan Review #33
Description
@MueJan thanks for the review. I will keep you updated 😄
- Explanation of how to interpret the individual terms in e.g. aov analysis as text below the summary data.frame. Analogous to the text below the assumption plots. See (https://prismtc.co.uk/resources/blogs-and-articles/how-to-analyse-a-2-level-factorial-design-using-design-expert-software) as example how to do it
- Add the AICc, BIC, R2_adjusted, R2_predicted, RMSE etc. to the model summary in order to compare models, perhaps as model metrics table?
- Instead of plotting the raw data in the model plot show the mean prediction, the confidence intervalls and connect the mean predictions
- Add a comparison tab or modal window. Split the screen in the middle. Add a drop down which lists the result titles at the left and at the right.