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

The function performs a test for a monotonic trend in variances. The test statistic is based on a combination of the finite intersection approach and the two-sample t-test using Miller's transformation. By default, NAs are omitted.

1 | ```
robust.mmm.test(y,group,tail=c("right","left","both"))
``` |

`y` |
a numeric vector of data values. |

`group` |
factor of the data. |

`tail` |
the default option is "right", corresponding to an increasing trend in variances as the one-sided alternatives; "left" corresponds to a decreasing trend in variances, and "both" corresponds to any (increasing or decreasing) monotonic trend in variances as the two-sided alternatves. |

A list with the following vector components.

`T` |
the statistic and p-value of the test based on the Tippett p-value combination. |

`F` |
the statistic and p-value of the test based on the Fisher p-value combination. |

`N` |
the statistic and p-value of the test based on the Liptak p-value combination. |

`L` |
the statistic and p-value of the test based on the Mudholkar-George p-value combination. |

Each of the vector components contains the following numeric components.

`statistic` |
the value of the test statistic. |

`p.value` |
the p-value of the test. |

`method` |
type of test performed. |

`data.name` |
a character string giving the name of the data. |

Kimihiro Noguchi, Yulia R. Gel

Mudholkar, G. S., McDermott, M. P., & Mudholkar, A. (1995). *Robust finite-intersection tests
for homogeneity of ordered variances*.
Journal of Statistical Planning and Inference 43, 185-195.

`neuhauser.hothorn.test`

, `levene.test`

, `lnested.test`

,
`ltrend.test`

, `mma.test`

1 2 3 4 5 6 7 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.