Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

# S3 method for biglm tidy(x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE, quick = FALSE, ...)

x | A |
---|---|

conf.int | Logical indicating whether or not to include a confidence
interval in the tidied output. Defaults to |

conf.level | The confidence level to use for the confidence interval
if |

exponentiate | Logical indicating whether or not to exponentiate the
the coefficient estimates. This is typical for logistic and multinomial
regressions, but a bad idea if there is no log or logit link. Defaults
to |

quick | Logical indiciating if the only the |

... | Additional arguments. Not used. Needed to match generic
signature only. |

`tidy()`

, `biglm::biglm()`

, `biglm::bigglm()`

Other biglm tidiers: `glance.biglm`

A `tibble::tibble()`

with columns:

The upper end of a confidence interval for the term under consideration. Included only if `conf.int = TRUE`.

The lower end of a confidence interval for the term under consideration. Included only if `conf.int = TRUE`.

The estimated value of the regression term.

The two-sided p-value associated with the observed statistic.

The value of a T-statistic to use in a hypothesis that the regression term is non-zero.

The standard error of the regression term.

The name of the regression term.

bfit <- biglm(mpg ~ wt + disp, mtcars)#> Error in biglm(mpg ~ wt + disp, mtcars): could not find function "biglm"tidy(bfit)#> Error in tidy(bfit): object 'bfit' not found#> Error in tidy(bfit, conf.int = TRUE): object 'bfit' not found#> Error in tidy(bfit, conf.int = TRUE, conf.level = 0.9): object 'bfit' not foundglance(bfit)#> Error in glance(bfit): object 'bfit' not found# bigglm: logistic regression bgfit <- bigglm(am ~ mpg, mtcars, family = binomial())#> Error in bigglm(am ~ mpg, mtcars, family = binomial()): could not find function "bigglm"tidy(bgfit)#> Error in tidy(bgfit): object 'bgfit' not found#> Error in tidy(bgfit, exponentiate = TRUE): object 'bgfit' not found#> Error in tidy(bgfit, conf.int = TRUE): object 'bgfit' not found#> Error in tidy(bgfit, conf.int = TRUE, conf.level = 0.9): object 'bgfit' not found#> Error in tidy(bgfit, conf.int = TRUE, conf.level = 0.9, exponentiate = TRUE): object 'bgfit' not foundglance(bgfit)#> Error in glance(bgfit): object 'bgfit' not found