Print Method for Best Subset Selection (regsubsets) Objects

Prints a summary for objects of class summary.regsubsets or regsubsets (from the leaps package), showing model selection statistics for best subsets, including R-squared, adjusted R-squared, standard error of estimate, Mallows' Cp, and AIC.

Usage

# S3 method for class 'sumry.regsubsets'
print(x, ...)

Arguments

x

An object of class summary.regsubsets or regsubsets.

...

Additional arguments (not currently used).

Value

Invisibly return the object printed.

Details

The function prints the model call and a table summarizing the best models selected, including the number of predictors, R-squared, adjusted R-squared, standard error of estimate (SEE), Mallows' Cp, and included variables. If the input is a regsubsets object, it is converted with sumry(). If not, the object is returned unmodified.

See also

regsubsets, sumry.regsubsets

Examples

fit <- leaps::regsubsets(Fertility ~ ., data = swiss, nbest = 3)
print(sumry(fit))
#>                        
#> Call: eval(expr, envir)
#>    _k_i.best    rsq  adjr2       see    cp Agriculture Examination Education
#> 1   1  ( 1 ) 0.4406 0.4282  9.446029 35.20                                 *
#> 2   1  ( 2 ) 0.4172 0.4042  9.642000 38.48                       *          
#> 3   1  ( 3 ) 0.2150 0.1976 11.189945 66.75                                  
#> 4   2  ( 1 ) 0.5745 0.5552  8.331442 18.49                                 *
#> 5   2  ( 2 ) 0.5648 0.5450  8.426136 19.85                                 *
#> 6   2  ( 3 ) 0.5363 0.5152  8.697447 23.83                       *          
#> 7   3  ( 1 ) 0.6625 0.6390  7.505417  8.18                                 *
#> 8   3  ( 2 ) 0.6423 0.6173  7.727757 11.01           *                     *
#> 9   3  ( 3 ) 0.6191 0.5925  7.973957 14.25                       *         *
#> 10  4  ( 1 ) 0.6993 0.6707  7.168166  5.03           *                     *
#> 11  4  ( 2 ) 0.6639 0.6319  7.579356  9.99                       *         *
#> 12  4  ( 3 ) 0.6498 0.6164  7.736422 11.96           *           *         *
#> 13  5  ( 1 ) 0.7067 0.6710  7.165369  6.00           *           *         *
#>    Catholic Infant.Mortality
#> 1                           
#> 2                           
#> 3         *                 
#> 4         *                 
#> 5                          *
#> 6                          *
#> 7         *                *
#> 8         *                 
#> 9                          *
#> 10        *                *
#> 11        *                *
#> 12        *                 
#> 13        *                *