e_plot_bs_one_samp_dist: Visual comparison of whether Bootstrap sampling distribution...

In erikerhardt/erikmisc: Erik Erhardt's miscellaneous functions for solving complex data analysis workflows

Visual comparison of whether Bootstrap sampling distribution of the mean is close to Normal

Description

A function to compare the bootstrap sampling distribution with a normal distribution with mean and SEM estimated from the data

Usage

e_plot_bs_one_samp_dist(
  dat,
  N = 10000,
  sw_graphics = c("ggplot", "base")[1],
  sw_ggplot_print = c(TRUE, FALSE)[2],
  conf_level = 0.95
)

Arguments

dat	a list of values
N	number of bootstrap iterations
sw_graphics	use either ggplot or R base graphics
sw_ggplot_print	if ggplot, print the plot or just return the grob
conf_level	0.95 for a 95% bootstrap CI

Value

invisible(NULL) or ggplot grob

Examples

e_plot_bs_one_samp_dist(dat = runif(15), sw_graphics = "base")
e_plot_bs_one_samp_dist(dat = runif(15), sw_graphics = "ggplot")

erikerhardt/erikmisc documentation built on April 17, 2025, 10:48 a.m.