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Get regression summary values

Source: R/regression_functions.R
get_regression_summaries.Rd

Output scalar summary statistics for an lm() regression in "tidy" format. This function is a wrapper function for broom::glance().

Usage

get_regression_summaries(model, digits = 3, print = FALSE)

Arguments

model

an lm() or glm() model object

digits

number of digits precision in output table

print

If TRUE, return in print format suitable for R Markdown

Value

A single-row tibble with regression summaries. Ex: r_squared and mse.

See also

glance(), get_regression_table(), get_regression_points()

Examples

library(moderndive)

# Fit lm() regression:
life_exp_model <- lm(
  life_expectancy_2022 ~ gdp_per_capita,
  data = un_member_states_2024
)

# Get regression summaries:
get_regression_summaries(life_exp_model)
#> # A tibble: 1 × 9
#>   r_squared adj_r_squared   mse  rmse sigma statistic p_value    df  nobs
#>       <dbl>         <dbl> <dbl> <dbl> <dbl>     <dbl>   <dbl> <dbl> <dbl>
#> 1     0.343         0.339  31.4  5.60  5.63      97.0       0     1   188