conf_int95 {reflimR}R Documentation

Confidence intervals of estimated reference limits

Description

Calculates 95 percent confidence intervals for the lower and upper reference limits obtained with the reflim algorithm.

Usage

  conf_int95(n, lower.limit, upper.limit, lognormal = TRUE,
             apply.rounding = TRUE)

Arguments

n

number of observations

lower.limit

positive number indicating the lower limit of the reference interval

upper.limit

positive number indicating the upper limit of the reference interval

lognormal

Boolean indicating whether a lognormal distribution should be assumed

apply.rounding

Boolean indicating whether the confidence limits should be rounded

Details

The confidence limits depend on the reference range (upper minus lower limit), and are proportional to 1/sqrt(n).

The coefficients used in this function have been determined by 100,000 Monte-Carlo simulations for sample sizes between n = 200 and n = 2,000 based on a standard normal distribution.

Value

95 percent confidence limits and total number of observations for the lower and the upper reference limit (ranging from lower.lim.low to lower.lim.upp for the lower reference limit, and from upper.lim.low to upper.lim.upp for the upper reference limit)

Examples

conf_int95(n = 250, lower.limit = 10, upper.limit = 50)
conf_int95(250, 135, 145, FALSE, FALSE)

[Package reflimR version 1.0.6 Index]