referenceIntervals (version 1.3.1)

singleRefLimit: This is the workhorse of the refLimit function

Description

This is the function called to work on each individual vector of data.

Usage

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

Value

Returns a list of necessary information.

size

Size of dataset

dname

Name of dataset

out.method

Method of outlier detection

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

Arguments

data

A vector of data points.

dname

Name of dataset.

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 sample size 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

limitConf

Desired confidence interval level. The default is a 90 confidence interval around the 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).

Author

Daniel Finnegan

Examples

singleRefLimit(set200, out.method = "horn", out.rm = TRUE)