Description Usage Arguments Value References Examples

This function can test an ANOVA for multiple contrasts based on parameter estimates `beta`

, a variance covariance matrix `vcov`

, a number of degrees of freedom `df`

, a residual error term `sigma`

and a contrast matrix `L`

.

1 |

`beta` |
A matrix with a single column containing parameter estimates. |

`vcov` |
A matrix of the estimated covariances between the parameter estimates. |

`df` |
A numeric value indicating the residual degrees of freedom. |

`sigma` |
A numeric value indicating a residual standard deviation. |

`L` |
A contrast matrix with the parameter levels as rows and a column for each contrast. |

`anova.na.ignore` |
A logical indicating whether contrasts that cannot be fitted due to missing observations should be ignored when calculating an F value ( |

A matrix with a single row and with three columns: (1) `AveExpr`

, containing the average estimate of the contrasts; (2) `Fval`

, containing the F-value corresponding to the contrasts; (3) `pval`

, containing the p-value corresponding to the contrasts.

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statOmics/MSqRob documentation built on Nov. 24, 2018, 6:52 a.m.

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