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

Inference for a correlation coefficient: Collect quantities, including Relevance and Significance measures

1 2 3 |

`x` |
data for the first variable, or matrix or data.frame containing both variables |

`y` |
data for the second variable |

`hypothesis` |
the null effect to be tested, and anchor for the relevance |

`method` |
type of correlation, either |

`testlevel` |
level for the test, also determining the confidence level |

`rlv.threshold` |
Relevance threshold, or a vector of thresholds
from which the element |

`...` |
further arguments, ignored |

an object of `class`

`'inference'`

, a
vector with components

`effect`

:correlation, transformed with Fisher's z transformation

`ciLow, ciUp`

:confidence interval for the effect

`Rle, Rls, Rlp`

:relevance measures: estimated, secured, potential

`Sig0`

:significance measure for test or 0 effect

`Sigth`

:significance measure for test of

`effect`

== relevance threshold`p.value`

:p value for test against 0

In addition, it has `attributes`

`method`

:type of correlation

`effectname`

:label for the effect

`hypothesis`

:the null effect

`n`

:number(s) of observations

`estimate`

:estimated correlation

`conf.int`

:confidence interval on correlation scale

`statistic`

:test statistic

`data:`

data.frame containing the two variables

`rlv.threshold`

:relevance threshold

Werner A. Stahel

see those in `relevance-package`

.

1 | ```
correlation(iris[1:50,1:2])
``` |

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