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Percentile bootstrap confidence interval for a statistic

Source: R/bootstrap_ci.R
bootstrap_ci.Rd

Resamples x with replacement R times, applies FUN to each resample, and returns the percentile interval of the resampled statistics together with the observed value.

Usage

bootstrap_ci(x, FUN = stats::median, R = 2000, conf.level = 0.95, seed = NULL)

Arguments

x

A numeric vector.

FUN

A function of one vector returning a single number. Defaults to stats::median().

R

Integer. Number of bootstrap resamples. Defaults to 2000.

conf.level

Confidence level. Defaults to 0.95.

seed

Integer or NULL. When supplied, sets the random seed so the interval is reproducible.

Value

A named numeric vector: estimate, lower, upper. The bounds are NA when x has fewer than 3 finite values.

See also

cohens_d_ci(), cramers_v_ci(), eta_sq_ci()

Examples

bootstrap_ci(mtcars$mpg, seed = 42)
#> estimate    lower    upper 
#>    19.20    16.85    21.40 
bootstrap_ci(mtcars$mpg, FUN = mean, conf.level = 0.90, seed = 42)
#> estimate    lower    upper 
#> 20.09062 18.41875 21.80031