- Calculate a linear model of the effect of bill length (predictor) on bill depth (outcome variable) for the
penguins
dataset. Return the model table using papaja::apa_table()
- Calculate a linear mixed model using the same structure as #1, but add species as a random effect and return the model table (including p-values).
- Calculate a generalized mixed model with body size as the outcome variable and bill length and flipper length as predictors (including their interaction), using a Poisson error distribution and return the model table.
- Create a null model for bill depth and run a model selection analysis comparing the null model and the models from #1 and #2. Then run a test to find the best model then compare the top two models.
- Check the model fit for the best fitting model from #4.
- Calculate standardized coefficients from #1.
- Calculate Cohen’s d from a model with bill length as the outcome variable and sex as the predictor.