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

Calculation of “parallel” quantiles, minima, maxima, medians, and means, across given arguments or across lists

1 2 3 4 5 6 | ```
pquantile(prob, ...)
pquantile.fromList(dataList, prob)
pmedian(...)
pmean(..., weights = NULL)
pmean.fromList(dataList, weights = NULL)
pminWhich.fromList(dataList)
``` |

`prob` |
A single probability at which to calculate the quantile. See |

`dataList` |
A list of numeric vectors or arrays, all of the same length and dimensions, over which to calculate “parallel” quantiles. |

`weights` |
Optional vector of the same length as |

`...` |
Numeric arguments. All arguments must have the same dimensions. See details. |

Given numeric arguments, say x,y,z, of equal dimensions (and length), the `pquantile`

calculates and returns the quantile of the first components of x,y,z, then the second components, etc.
Similarly, `pmedian`

and `pmean`

calculate the median and mean, respectively.
The funtion `pquantile.fromList`

is identical to `pquantile`

except that the argument
`dataList`

replaces the ... in holding the numeric vectors over which to calculate the quantiles.

`pquantile, pquantile.fromList` |
A vector or array containing quantiles. |

`pmean, pmean.fromList` |
A vector or array containing means. |

`pmedian` |
A vector or array containing medians. |

`pminWhich.fromList` |
A list with two components: |

Dimensions are copied from dimensions of the input arguments.
If any of the input variables have `dimnames`

, the first non-NULL dimnames are copied into the output.

Peter Langfelder and Steve Horvath

`quantile`

, `median`

, `mean`

for the underlying statistics.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |

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