| referenceIntervals-package {referenceIntervals} | R Documentation |
This package calculates reference intervals from a dataset using either parametric, non-parametric, or robust methods.
Description
This package also calculates the confidence intervals around the calculated reference intervals in order to provide a metric for how precise the calculations are. This package also contains four outlier detection functions.
Details
| Package: | referenceIntervals |
| Type: | Package |
| Version: | 1.3.1 |
| Date: | 2024-03-30 |
| License: | GPL-3 |
Author(s)
Daniel Finnegan
Maintainer: Daniel Finnegan <dan.finnegan@gmail.com>
References
Clinical and Laboratory Standards Institute. Defining, Establishing, and Verifying Reference Intervals in the Clinical Laboratory; Approved Guideline - Third Edition. C28-A3c. 28(30).
Friedman JH. A recursive partitioning decision rule for nonparametric classification. IEEE Transactions on Computers. 1977. April: 404-408.
Friedrichs KR, Harr KE, Freeman KP, et al. ASVCP reference interval guidelines: determination of de novo reference intervals in veterinary species and other related topics. Vet Clin Pathol. 2012;441-453.
H.E. Solberg Department of Clinical Chemistry. Approved recommendation (1987) on the theory of reference values. Part 5. Statistical treatment of collected reference values. Determination of reference limits. Clinica Chimica Acta. 1987:S13-S32.
Horn PS, Pesce AJ. Reference intervals: an update. Clinica Chimica Acta. 2003. 334:5-23.
Horn PS, Pesce AJ, Copeland BE. A robust approach to reference interval estimation and evaluation. Clinical Chemistry. 1998. 44(3):622-631.
Horn PS, Pesce AJ, Copeland BE. Reference interval computation using robust vs parametric and nonparametric analyses. Clinical Chemistry. 1999. 45(12):2284-2285.
Linnet K. Nonparametric estimation of reference intervals by simple and bootstrap-based procedures. Clinical Chemistry. 2000. 46(6):867-869.
Verma SP, Quiroz-Ruiz A. Critical values for six Dixon tests for outliers in normal samples up to sizes 100, and applications in science and engineering. Revista Mexicana de Ciencias Geologicas. 2006. 23(2):133-161.
Verma SP, Quiroz-Ruiz A, Diaz-Gonzalez L. Critical values for 33 discordancy test variants for outliers in normal samples up to sizes 1000, and applications in quality control in Earth Sciences. Revista Mexicana de Ciencias Geologicas. 2008. 25(1):82-96.
Virtanen A, Kairisto V, Uusipaikka E. Regression-based reference limits: determination of sufficient sample size. Clinical Chemistry. 1998. 44(11):2353-2358.
Examples
refLimit(set50, out.rm = TRUE, out.method = "cook")
refLimit(set200, out.method = "horn", RI = "n", refConf = 0.90, limitConf = 0.80)
horn.outliers(set120)
dixon.outliers(set20)
refLimit(set50, out.method = "vanderLoo", out.rm = TRUE, RI = "r", bootStat = "perc")
frame = data.frame(one = rnorm(30, m = 5, sd = 2), two = rnorm(30, m = 7, sd = 1),
three = rnorm(30, m = 2, sd = 0.5))
result = refLimit(frame)
plot(result)