robust {referenceIntervals} | R Documentation |
Algorithm that implements the robust method for reference interval calculations
Description
The robust method is an iterative method that determines the most appropriate weighted mean of the data and then calculates the desired reference interval.
Usage
robust(data, indices = c(1:length(data)), refConf = 0.95)
Arguments
data |
Vector of data. |
indices |
Indices of data to use for calculations. |
refConf |
Desired coverage of the reference interval. Default is 95 interval. |
Value
Returns a vector containing the lower and upper limits of the reference interval.
Author(s)
Daniel Finnegan
References
Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline - 3rd Edition (C28-A3)
Examples
robust(set50)
robust(horn.outliers(set20)$subset)
[Package referenceIntervals version 1.3.1 Index]