myboot2: Bootstrap Confidence Interval Generation

In Jacob-R-Davis/MATH4753.Davis: MATH 4753 Package - Jacob Davis

Description

Bootstrap Confidence Interval Generation

Usage

myboot2(iter = 10000, x, fun = "mean", alpha = 0.05, cx = 1.5, ...)

Arguments

iter	Number of iterations used to construct bootstrap interval
x	A vector containing a random sample of quantitative elements
fun	Function used to evaluate the desired population parameter
alpha	Likelihood that true population parameter lies outside the confidence interval
cx	Scaling parameter for text of confidence interval on the histogram
...	Other information to add to the histogram title

Value

A histogram of the population parameter along with the desired confidence interval, as well as a list containing the confidence interval, the function used to calculate the population parameter, and the sample analyzed.

Examples

myboot2(iter=10000,x=c(1:10),fun="mean",alpha=0.05)

Jacob-R-Davis/MATH4753.Davis documentation built on April 24, 2021, 7:46 a.m.