The function summary.mctp produces a result summary of `mctp`

. It
can only be applied to objects of class "mctp".

1 2 |

`object` |
An object of class "mctp", i.e. the result when
applying |

`...` |
Arguments to be passed to methods. |

Since summary.mctp is a S3 method it suffices to use summary(x) as long as x is of class "mctp". It will be interpreted as summary.mctp(x).

The function produces a summary of the result of `mctp`

starting
with some global information: alternative hypothesis, estimation method, type of
contrast, confidence level. This is followed by:

`Data.Info ` |
List of samples and sample sizes and estimated effect per group. |

`Contrast` |
Contrast matrix. |

`Analysis ` |
Estimator: Estimated relative effect, Lower: Lower limit of the simultaneous confidence interval, Upper: Upper limit of the simultaneous confidence interval, Statistic: Teststatistic p.Value: Adjusted p-values for the hypothesis by the choosen approximation method. |

It is possible to create a graphical result of the multiple comparison test
procedure by using the function `plot.mctp`

.

Frank Konietschke

F. Konietschke, L.A. Hothorn, E. Brunner: Rank-Based Multiple Test Procedures and Simultaneous Confidence Intervals. Electronic Journal of Statistics, Vol.0 (2011) 1-8.

For further information on the usage of mctp, see `mctp`

.

1 2 3 4 5 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.