Description Usage Arguments Value Note Author(s) See Also

View source: R/normalizeGaussian_sevaralstations_prec.R

DEPRECATED Converts several samples `x`

random variable (daily precipitation values) extracted by populations represented by the columns of `data`

respectively or `sample`

to a normally-distributed samples with assinged mean and standard deviation or vice versa in case `inverse`

is `TRUE`

using the function `normalizeGaussian_prec`

1 2 3 |

`x` |
value to be converted |

`data` |
a sample of data on which a non-parametric probability distribution is estimated |

`cpf` |
cumulative probability distribution. If |

`mean` |
mean (expected value) of the normalized random variable. Default is 0. |

`sd` |
standard deviation of the normalized random variable. Default is 1. |

`inverse` |
logical value. If |

`qnull` |
probability of no precipitation occurence. (It can be a matrix in case |

`valmin` |
minimum value of precipitation to consider a wet day |

`type` |
see |

`extremes` |
logical variable.
If
where |

`sample` |
information about sample or probability distribution. Default is |

`origin_x` |
date corresponding to the first row of |

`origin_data` |
date corresponding to the first row of |

a matrix or a data.frame with the normalized variable or its inverse

In the version 1.2.5 of RMAWGEN This function is deprecated and not used.

Emanuele Cordano, Emanuele Eccel

RMAWGEN documentation built on May 29, 2017, 9:09 a.m.

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