Glossary

Key Points

Introduction	Data should have 1 observation per row.
Preparing and Investigating Data	Data should have 1 observation per row.
Testing differences in categories	You can use t tests and ANOVAs if you have a continuous response and categorical predictors.
Correlation and Covariance
Regression
Mixed Effects Models	Use `lmer()` to fit mixed effects models that account for clustered observations. Use diagnostic plots (`dotplot()` and `qqmath()`) to assess the model fit for mixed models. Use the `ranova()` function to assess which random effects should be included in the model.
Regression
Introduction to Bayesian Statistics

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