boot_sem: boot_sem non-parametric bootstrap for standard error of the...

In lefft/lefftpack: tim's personal package (demo of jun15/2017)

Description

boot_sem non-parametric bootstrap for standard error of the mean (or just boot mean)

Usage

boot_sem(vec, sem = TRUE, b = 1000, n = sum(!is.na(vec)), na.rm = TRUE)

Arguments

vec
b	number of bootstrap resamples to draw
n	number of elements to draw during resampling (defaults to number of non-missing elements in input vector) – setting 'n=1' is jacknife resampling
se	logical, if 'TRUE' (default), returns standard error of the mean; if 'FALSE', returns the mean of the bootstrap means

Value

'out': booted se or mean of 'vec', depends on supplied 'se' param val

Examples

boot_se(rnorm(1000))

lefft/lefftpack documentation built on May 8, 2019, 1:13 p.m.