Turns regression results in a data.frame for easy conversion to a table

make_regression_table(model, coefficients_only = TRUE)

Arguments

model: A `lm` object made from making a model using `lm()`.
coefficients_only: If TRUE (default), returns only the coefficients,standard error, t-value, p-value, and confidence intervals. Else also returns the r-squared, the adjusted r-squared,f-stat, p-value for the f-stat, and the degrees of freedom.

Value

A data.frame with the regression results

Examples

make_regression_table(lm(mpg ~ cyl, data = mtcars))
#>      variable estimate standard_error   t_value      p_value
#> 1 (Intercept) 37.88458      2.0738436 18.267808 8.369155e-18
#> 2         cyl -2.87579      0.3224089 -8.919699 6.112687e-10
#>   confidence_interval_lower_95 confidence_interval_upper_95
#> 1                    33.649223                    42.119930
#> 2                    -3.534237                    -2.217343
make_regression_table(lm(mpg ~ cyl, data = mtcars), coefficients_only = FALSE)
#> New names:
#> • `value` -> `value...1`
#> • `value` -> `value...2`
#>      variable estimate standard_error   t_value      p_value
#> 1 (Intercept) 37.88458      2.0738436 18.267808 8.369155e-18
#> 2         cyl -2.87579      0.3224089 -8.919699 6.112687e-10
#>   confidence_interval_lower_95 confidence_interval_upper_95 r_squared
#> 1                    33.649223                    42.119930   0.72618
#> 2                    -3.534237                    -2.217343   0.72618
#>   adjusted_r_squared f_statistic f_statistic_p_value degrees_of_freedom
#> 1          0.7170527    79.56103        6.112687e-10                 30
#> 2          0.7170527    79.56103        6.112687e-10                 30