a modification of the renamed tidy command that adds the effect size (confidence intervals for the regression coefficient and adjusted R^2)
Arguments
- model
model fit from
lm()- ci
confidence interval (0, 1)
See also
Other model summary helpers:
get_lm_multicollinearity(),
models2coefs(),
models2omni(),
r_sq_to_adj_r_sq(),
renamed_tidy(),
tidy_es(),
tidy_es_lmer()
Examples
tidy_es_lm(lm(salary ~ yrs.since.phd, carData::Salaries))
#> lh op rh b se t p
#> 1 salary ~ (Intercept) 91718.6854 2765.7923 33.161813 3.332606e-116
#> 2 salary ~ yrs.since.phd 985.3421 107.3651 9.177488 2.495042e-18
#> r_sq_adj b_ci_ll b_ci_ul r_sq_adj_ci_ll r_sq_adj_ci_ul
#> 1 0.7350649 86281.1714 97156.199 0.7026265 1
#> 2 0.1736680 774.2636 1196.421 0.1210838 1