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

Identifies the number of common eigenvectors in several groups using the bootstrap hypothesis test (BootTest) method, adapted from Klingenberg and McIntyre (1998).

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`origdata ` |
List of the sample data sets. |

`q ` |
Number of common eigenvectors to test for. |

`reps` |
Number of bootstrap replications to use. |

Tests the hypothesis, H_0: eigenvector pair are common, against the alternative, H_1: eigenvector pair are NOT common.

Returns a data frame with the columns:

`Group1 ` |
Order of the eigenvector for Group 1. |

`Group2 ` |
Order of the eigenvector for Group 2. |

`vec.correlations ` |
Vector correlations of the eigenvector pairs. |

`p.values ` |
P-values for the null hypothesis of commonness of the eigenvector pairs. |

Note that this implementation of the BootTest method can currently handle only two groups of data.

Theo Pepler

Klingenberg, C. P. and McIntyre, G. S. (1998). Geometric morphometrics of developmental instability: Analyzing patterns of fluctuating asymmetry with Procrustes methods. Evolution, 52(5): 1363-1375.

Pepler, P.T. (2014). The identification and application of common principal components. PhD dissertation in the Department of Statistics and Actuarial Science, Stellenbosch University.

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tpepler/cpc documentation built on Nov. 19, 2017, 1:19 p.m.

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