Tidy a(n) regsubsets object
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 across 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 class 'regsubsets' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
A tibble::tibble()
with columns:
r.squared |
R squared statistic, or the percent of variation explained by the model. |
adj.r.squared |
Adjusted R squared statistic |
BIC |
Bayesian information criterion for the component. |
mallows_cp |
Mallow's Cp statistic. |
if (requireNamespace("leaps", quietly = TRUE)) { all_fits <- leaps::regsubsets(hp ~ ., mtcars) tidy(all_fits) }
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