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tidy_es

Source: R/tidy_es.R
tidy_es.Rd

a modification of the renamed tidy command to adds the effect size (confidence intervals for the regression coefficient and adjusted R^2)

Usage

tidy_es(model, ci = 0.95)

Arguments

model

model fit from lm(), lmerTest::lmer(), or lme4::lmer()

ci

confidence interval (0, 1)

Value

data.frame

Examples

# example: lm
tidy_es(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

# example: lmer
tidy_es(lmerTest::lmer(Reaction ~ 1 + Days + (1 + Days | Subject), lme4::sleepstudy))
#> Computing profile confidence intervals ...
#>         lh op          rh         b       se       df         t            p
#> 1 Reaction  ~ (Intercept) 251.40510 6.824597 16.99973 36.838090 1.171558e-17
#> 2 Reaction  ~        Days  10.46729 1.545790 16.99998  6.771481 3.263824e-06
#>    r_sq_adj    b_ci_ll   b_ci_ul r_sq_adj_ci_ll r_sq_adj_ci_ul
#> 1 0.9869002 237.680696 265.12951      0.9743608              1
#> 2 0.7136175   7.358653  13.57592      0.4836195              1