Description Usage Arguments Value Author(s)

View source: R/functions2eval.R

Function to get all scheme calculation, adjust = TRUE make a adjusting NLS.

1 2 3 4 5 | ```
get.AllSchems(data, Ovrcst_sch = c("CQB", "CKC", "CCB", "CKZ", "CWU", "CJG",
"CLM", "CFG"), Emiss_sch = c("EAN", "EBR", "EBT", "EDO", "EGR", "EIJ",
"EID", "EKZ", "ENM", "EPR", "EST", "ESW", "EAI"), adjust = FALSE,
method = "non-linear", nsample = 1000, max_iter = 10, stats = "rmse",
log_file = NULL, forced = TRUE)
``` |

`data` |
Data frame with atmospheric variables |

`Ovrcst_sch` |
Schemes for cloud cover index |

`Emiss_sch` |
Schemes of atmosphere emissivity |

`adjust` |
FALSE, TRUE for NLS adjusting |

`method` |
"non-linear" (default) for Non linear Least Square adjust, "montecarlo" for MonteCarlo optimization. Later be usseful when a NLS can't adjust observed data allowing optimization. |

`nsample` |
population number evaluated in each iteration (only when method = "montecarlo"). |

`max_iter` |
maximun number of iterations (only when method = "montecarlo"). |

`stats` |
statistical function to be minimized (only when method = "montecarlo"), NOTE: the best result should be 0.0 (ex., if stats = r (correlation), then transform to rMod = 1.0 - r, so the best result is when r== 1.0, so rMod == 0.0) |

`log_file` |
path to a log file |

`forced` |
Forced adjust, default TRUE |

Data frame with Li observed and all combintions of schemes for calculations of Li

Roilan Hernandez

roilanhv/ROLi documentation built on Aug. 24, 2017, 3:02 a.m.

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