| as_number | 'number' vector |
| class_data | Teacher effectiveness data |
| drop_term | Drop a term from the given model |
| equation | Print the output of 'lm()' with the fitted equation. |
| Fingers | Data from introductory statistics students at a university. |
| Fingers.messy | Data from introductory statistics students at a university. |
| generate_models | Generate a List of Models for Computing Different Types of Sums of Squares |
| generate_models.formula | Generate a List of Models for Computing Different Types of Sums of Squares |
| generate_models.lm | Generate a List of Models for Computing Different Types of Sums of Squares |
| is_number | 'number' vector |
| listwise_delete | Remove cases with missing values. |
| listwise_delete.data.frame | Remove cases with missing values. |
| listwise_delete.lm | Remove cases with missing values. |
| number | 'number' vector |
| pairwise | Compute all pairwise comparisons between category levels |
| pairwise_bonferroni | Compute all pairwise comparisons between category levels |
| pairwise_t | Compute all pairwise comparisons between category levels |
| pairwise_tukey | Compute all pairwise comparisons between category levels |
| Servers | Servers data |
| superanova | supernova |
| supernova | supernova |
| supernova.lm | supernova |
| supernova.lmerMod | supernova |
| Survey | Students at a university were asked to enter a random number between 1-20 into a survey. |
| Tables | Tables data |
| TipExperiment | Data from an experiment about smiley faces and tips |
| update_in_env | Update a model in the environment the model was created in |
| variables | Extract the variables from a model formula |
| variables.formula | Extract the variables from a model formula |
| variables.lm | Extract the variables from a model formula |
| variables.lmerMod | Extract the variables from a model formula |
| variables.supernova | Extract the variables from a model formula |