refLimit: Calculates and returns reference and confidence intervals for...

In referenceIntervals: Reference Intervals

Calculates and returns reference and confidence intervals for a dataset

Description

This function calculates a reference interval from a dataset using parametric, non-parametric, or robust methods.

Usage

refLimit(data, out.method = "horn", out.rm = FALSE, RI = "p", CI = "p",
refConf = 0.95, limitConf = 0.9, bootStat = "basic")

Arguments

data	A vector of data points.
out.method	The outlier detection method. Valid options include "horn", "cook", "dixon", and "vanderLoo".
out.rm	Remove outliers. If value is TRUE, outliers will be automatically removed prior to calculations. If FALSE (default), outliers will be detected but not removed.
RI	Method for reference interval calculations. Valid options include "p" (default) for parametric, "n" for non-parametric, and "r" for robust method.
CI	Method for confidence interval calculations. Valid options include "p" for parametric (default), "n" for non-parametric, and "boot" for bootstrapping method. The minimum samplesize for non-parametric confidence interval calculations is 120. With smaller samples, bootstrapping methods are used.
refConf	Desired coverage for the calculated reference interval. The default is a 95 interval.
limitConf	Desired confidence interval level. The default is a 90 reference interval limits.
bootStat	Method for calculating confidence intervals from package boot. Valid arguments include "basic" (basic bootstrap method), "perc" (bootstrap percentile method), "norm" (normal approximation method), "stud" (studentized bootstrap method), and "bca" (adjusted bootstrap percentile method).

Details

A confidence interval around each limit of the reference interval is calculated as a metric for determining the validity of the result. Outliers can be detected in one of four different methods and automatically eliminated.

To determine the most appropriate calculation for confidence intervals using the bootstrapping method, please consult chapter 5 of Davison and Hinkley's "Bootstrap Methods and their Applications."

Value

Returns a list of necessary information.

size	Size of dataset
dname	Name of dataset
out.method	Outlier detection method
out.rm	Boolean indicating whether outliers are automatically removed
outliers	Vector of detected outliers
methodRI	Method for reference interval calculations (p, n, or r)
methodCI	Method for confidence interval calculations (p, n, boot)
norm	Results of running Shapiro-Wilk and Kolmorgorov-Smirnov normacy tests
refConf	Desired coverage of reference interval
limitConf	Desired confidence interval level
Ref_Int	List containing the reference interval and confidence interval values

Author(s)

Daniel Finnegan

References

ASVCP reference interval guidelines: determination of de novo reference intervals in veterinary species and other related topics. Vet Clin Pathol 41/4 (2012) 441-453, 2012. American Society for Veterinary Clinical Pathology

Davison, A.C. and Hinkley, D.V. (1997) Bootstrap Methods and Their Application, Chapter 5. Cambridge University Press.

Examples

refLimit(set20, out.method = "dixon")
refLimit(set200, out.method = "cook", out.rm = TRUE, RI = "n", refConf = 0.9)
refLimit(set50, out.method = "vanderLoo", out.rm = TRUE, RI = "r", bootStat = "perc")

referenceIntervals documentation built on April 29, 2022, 1:06 a.m.