Description Usage Arguments Details Value References See Also Examples

Multiresponse permutation procedures for randomized blocks (MRBP) are used for univariate and multivariate analyses of grouped data in a complete randomized block design.

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`variables` |
the names of response variables to be used in the analysis. If more than one is used these are specified using the form |

`group` |
the name of the grouping variable to be used in the analysis. |

`block` |
the name of the blocking variable to be used in the analysis. |

`data` |
the |

`expon` |
allows selection of alternative exponents in distance calculations. |

`exact` |
a |

`number.perms` |
number of permutations used if a Monte Carlo resampling procedure is selected. |

`commens` |
a |

`align` |
A |

`save.test` |
A |

The value chosen to align each block is selected to make the block
medians all equal to zero. Blossom aligns each block by default.
If there is more than one response
variable then Blossom adjusts or commensurates variables by
their average Euclidean distance by default as in `mrbp`

.

`mrbp`

returns an object of class `MRBPObj`

.

The functions `summary`

as well as `print`

can be used to obtain a summary of the test.

Generic accessor functions `pvalue`

and `ResampVals`

can be used to obtain the p-value and Monte Carlo resampled test statistic values respectively.

Mielke, P.W., Jr., and K.J. Berry. 2001. *Permutation methods: A distance function approach*. Springer-Verlag.

`pvalue`

and `ResampVals`

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