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

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