Description Usage Arguments Value Examples

View source: R/check_predictors.R

Starting with a base linear regression, check_predictors takes turns adding a variables from a list of variables to it one at a time, calculating the change in RSquared Adjusted for each variable addition to to the base regression, and showing the user if the variable was good or bad for the RSquared Adjusted

1 | ```
check_predictors(df, model, ...)
``` |

`df` |
A dataframe |

`model` |
A model object of class "lm" or a valid formula. |

`...` |
Any number of (unquoted) variables to be checked as possible additions to the model |

A tibble with each tested variable, whether it was good or bad for Adjusted RSquared, and the exact change in Adjusted RSquared.

1 | ```
check_predictors(mtcars, mpg ~ cyl, hp, am)
``` |

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