There are a couple of minor issues in some of my lectures and assignments that I would like to fix. They are low priority but I'm making a note here so I don't forget.
[x] Assignment 4, question 3: Make clear that it's possible the final model has no significant effects. Students should indicate this for the visualisation questions if this is true.
[x] Lecture 9: The k in n/k for deciding between AIC and AICc refers to the total number of parameter (fixed, random, intercept). Needs to be made more clear.
[x] Lecture 12: Change calculation of simulated male and female means to use dplyr instead of base R
[x] Assignment 4 has two question 3.
[x] Remove bit about "whatever plot you want" in assignment 4 question 3b
[x] Assignment 4 Q3a should say banner petal width
[x] Assignment 4 Q3b (LM): Clarify "when other variables are in the model"
[x] Reformat text block in assignment 5
[x] Assignment 4: Clarify that spatial blocks were added post-hoc and are not a result of the experimental design. Therefore, it make sense to assess whether this random effect is needed (in assignment 5 model selection).
[x] Assignment 5: Ask for justification for each random effect being included/excluded from the models
[x] Challenge assignment: Specify # iterations for Q1d
I will add more small issues here as they come up, and submit a single PR towards the end of the course that addresses them.
There are a couple of minor issues in some of my lectures and assignments that I would like to fix. They are low priority but I'm making a note here so I don't forget.
kinn/kfor deciding between AIC and AICc refers to the total number of parameter (fixed, random, intercept). Needs to be made more clear.dplyrinstead of base RI will add more small issues here as they come up, and submit a single PR towards the end of the course that addresses them.