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

Repeatability calculations based on Analysis of Variance (ANOVA).

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

`y` |
Vector of measurements. |

`groups` |
Vector of group identities (will be converted to a factor). |

`CI` |
Width of the confidence interval between 0 and 1 (defaults to 0.95). |

`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: "ANOVA"). |

`R` |
Point estimate for the repeatability (denoted as |

`se` |
Asymptotic standard error for repeatability (ICC) based Becker (1982). |

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

`P` |
Named vector of two |

`R.permut` |
Repeatability |

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

Becker, W. A. (1992) *A manual of quantitative genetics*. 5th edn. Academic Enterprises, Pullman, WA.

Lessells, C. M. and Boag, P. T. (1987) *Unrepeatable repeatabilities: a common mistake*. Auk 104: 116-121.

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

rpt.corr, rpt.remlLMM, rpt.mcmcLMM, rpt, print.rpt

1 2 3 4 5 6 7 8 9 10 11 | ```
# repeatability estimation for tarsus length - a very high R
data(BodySize)
attach(BodySize)
(rpt.BS <- rpt.aov(Tarsus, BirdID, npermut=10)) # reduced number of npermut iterations
detach(BodySize)
# repeatability estimation for weight (body mass) - a lower R than the previous one
data(BodySize)
attach(BodySize)
(rpt.Weight <- rpt.aov(Weight, BirdID, npermut=10)) # reduced number of npermut iterations
detach(BodySize)
``` |

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