boot_ci: Bootstrapped CIs

In kleinschmidt/daver: Dave Kleinschmidt's misc. utilities

Description

Returns a data_frame with columns stat (names of provided stats), observed (observed value of stats applied to data, t0 in boot), and ci_lo/ci_hi.

Usage

boot_ci(data, stats, R = 1000, ci_level = 0.95, h0 = NULL, na_rm = TRUE,
  ...)

Arguments

data	Data that's provided to 'boot'
stats	Function or named vector/list of statistics to compute bootstrapped CIs for. Statistics should take data as their first argument, and indices as their second, and return a scalar statistic.
R	Number of bootstrap samples (default: 1000)
ci_level	Percentage for CI (default 0.95) or lower/upper quantiles of CI.
h0	Optional null value of statistics for p value computation
na_rm	Whether to remove NAs in quantile calculation
...	Additional arguments passed to boot.

kleinschmidt/daver documentation built on May 20, 2019, 12:33 p.m.