calc.foldrange {hbim}R Documentation

Calculate stadard error and fold-range from confidence interval

Description

Given a confidence interval and sample size, we find the standard error assuming confidence limits are calculated on the log10 responses by either normal confidence limits or t-distribution confidence limits. The fold-range is also output by either methods.

Usage

calc.foldrange(n, lower, upper, conf.level = 0.95)

Arguments

n vector of sample size(s) used to create confidence intervals
lower vector of lower confidence limits
upper vector of upper confidence limits
conf.level confidence level, default=.95

Details

See vignette("hbimdetails")

Value

A vector (or matrix) with elements (or columns)

n sample size
lower lower confidence limit
upper upper confidence limit
s.byt standard deviation assuming confidence intervals calculated by t-distribution
s.byz standard deviation assuming confidence intervals calculated by normal distribution
foldrange.byt fold-range assuming confidence intervals calculated by t-distribution
foldrange.byz fold-range assuming confidence intervals calculated by normal distribution

Examples

## sample size=43, lower cl=65, upper cl=85
calc.foldrange(43,65,85) 

[Package hbim version 0.9.5-1 Index]