mean_cl_boot: Compute confidence interval of mean by bootstrapping.

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Compute confidence interval of mean by bootstrapping.

Description

mean_cl_boot computes lower and upper confidence limits for the estimated mean, based on bootstrapping.

Usage

mean_cl_boot(
  x,
  conf = 0.95,
  type = "basic",
  nrepl = 10^3,
  round = FALSE,
  roundDig = 2
)

Arguments

x	Data for computation.
conf	confidence interval with default 95%.
type	type for function boot.ci.
nrepl	number of bootstrap replications, defaults to 1000.
round	logical, applies roundR function to results. Output is character.
roundDig	Number of relevant digits for function roundR.

Value

A tibble with one row and three columns: Mean, CIlow, CIhigh.

Examples

# basic usage of mean_cl_boot
mean_cl_boot(x = mtcars$wt)

wrappedtools documentation built on June 8, 2025, 10:58 a.m.