confidence.int: Generate confidence intervals

In mlcollyer/chatham.bio532: Statistical analyses especially designed for BIO532, Biostatistics, at Chatham University

Description

Function generates one-sample confidence intervals from a resampling (bootstrap) procedure

Usage

confidence.int(y, alpha = 0.05, iter = 1000)

Arguments

y	A vector of data
alpha	The significance level
iter	Number of resampling (bootstrap) iterations

Value

The function returns a list of samples, means from samples, and (1-alpha)*100 confidence intervals.

Author(s)

Michael Collyer

Examples

Y <- rnorm(10000) # population
y <- sample(Y, size = 30) # sample from population
CI <- confidence.int(y, alpha = 0.05, iter=1000)
summary(CI)
plot(CI)
mean(Y) # does confidence interval contain population mean?

mlcollyer/chatham.bio532 documentation built on May 23, 2019, 2:08 a.m.