robust: Algorithm that implements the robust method for reference...

In referenceIntervals: Reference Intervals

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)

referenceIntervals documentation built on May 29, 2024, 10:58 a.m.