rpt.corr: Correlation-based Repeatability

In rptR: Repeatability for Gaussian and non-Gaussian data

Description

Calculates repeatability based on inter-class correlations

Usage

	rpt.corr(y, groups, CI=0.95, nboot=1000, npermut=1000)

Arguments

y	Vector of measurements. Missing values are not allowed.
groups	Vector of group identitities (will be converted to a factor). Note that each group identity has to appear exactly twice.
CI	Width of the confidence interval between 0 and 1 (defaults to 0.95).
nboot	Number of bootstrapping runs used when calculating an asymptotic confidence interval (defaults to 1000).
npermut	Number of permutations used when calculating asymptotic P values (defaults to 1000).

Value

Returns an object of class rpt that is a a list with the following elements:

datatype	Response distribution (here: "Gaussian").
method	Method used to calculate repeatability (here: "corr").
R	Point estimate for repeatability R.
se	Asymptotic standard error for repeatability based on non-parametric bootstrapping.
CI	Asymptotic confidence interval for repeatability based on non-parametric bootstrapping.
P	Asymptotic P value from a significance test for the intraclass correlation based on permutation.
R.permut	Permutation samples for R.

Author(s)

Holger Schielzeth ([e-mail]) & Shinichi Nakagawa ([e-mail])

References

Sokal, R. R. and F. J. Rohlf (1995). Biometry: The principles and practice of statistics in biological research. New York, W.H. Freeman and Company.

Nakagawa, S. and Schielzeth, H. (2010) Repeatability for Gaussian and non-Gaussian data: a practical guide for biologists. Biological Reviews 85: 935-956

See Also

rpt.aov, rpt.remlLMM, rpt.mcmcLMM, rpt, print.rpt

Examples

# repeatability for male breeding success on a transformed scale
data(Fledglings)
Fledglings$sqrtFledge <- sqrt(Fledglings$Fledge)
attach(Fledglings)
(rpt.Fledge <- rpt.corr(sqrtFledge, MaleID, nboot=10, npermut=10))  # reduced number of iterations
detach(Fledglings)

rptR documentation built on May 2, 2019, 5:01 p.m.