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)