Use of WOMBAT is illustrated by a suite of worked examples. The complete set of examples 1 to 16 (Linux version; gzipped tar ball) can be downloaded here.

There are a total of 11 example data sets with a number of different analyses shown for most of them to illustrate different models and options available.

Link | Traits | Description |
---|---|---|

Example1 | 1 | Univariate analysis fitting simple animal model; single fixed effect |

Example2 | 2 | Bivariate analysis fitting additional random effect; multiple fixed effects |

Example3 | 1 | Simple random regression analysis; compare to repeatability model |

Example4 | 4 | Multivariate analyses fitting a simple animal model; multiple fixed effects & covariables |

Example5 | 6 | Multivariate analyses fitting a simple animal model; demonstrate reduced rank & FA options |

Example6 | 8 | Multivariate analyses fitting a simple animal model; traits measured on distinct subsets of animals |

Example7 | 4 | Uni- and multivariate analyses for models including maternal effects; includes analyses estimating direct-maternal covariances or fitting maternal effects for subsets of traits only |

Example8 | 2 | Bivariate analysis with different random effects for different traits |

Example9 | 1 | Random regression analyses including maternal effects fitting B-splines; full & reduced rank fit |

Example10 | 2 | The Gryphon example of Wilson et al 2010 |

Example11 | 2 | Bivariate random regression analysis for simulated data |

Example13 | 4 | Multivariate analyses with different numbers of repeated records for different traits; simulated data |

Example14 | 1 | `Automatic' GWAS analysis; toy example |

Example15 | 14 | Pooling results from part analyses |

Example16 | 1 | Fitting a `social interaction' model |

Example17 | 1 | Sampling based approximation of sampling errors |

Example18 | 1,2 | Single step prediction |

Example19 | 6 | Penalized REML using simple penalties |

Example20 | NA | Calculate genomic relationship matrices |

Example21 | 2 | Single step prediction - Hybrid model |