Description Usage Arguments Value Author(s) References See Also Examples

Calculates repeatability based on inter-class correlations

1 | ```
rpt.corr(y, groups, CI=0.95, nboot=1000, npermut=1000)
``` |

`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 |

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 |

`se` |
Asymptotic standard error for repeatability based on non-parametric bootstrapping. |

`CI` |
Asymptotic confidence interval for repeatability based on non-parametric bootstrapping. |

`P` |
Asymptotic |

`R.permut` |
Permutation samples for |

Holger Schielzeth ([email protected]) & Shinichi Nakagawa ([email protected])

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

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

1 2 3 4 5 6 | ```
# 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)
``` |

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