Description Usage Arguments Value Examples

This function computes the threshold based on a quantile value for each day of the year of the daily data input.

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`data` |
A numeric n-dimensional array containing daily data. |

`dates` |
A vector of dates with a calendar attributes. If NULL (by default), the 'time' attributes of parameter 'data' is considered. |

`calendar` |
A character indicating the calendar type. |

`base.range` |
The years used for computing the threshold. |

`qtiles` |
Numeric vector with values between 0 and 1 indicating the quantiles to be computed. |

`ncores` |
The number of cores to be used when computing the threshold. |

`na.rm` |
A logical value. If TRUE, any NA and NaN's are removed before the quantiles are computed (default as FALSE). |

An array with similar dimensions as the `data`

input, but without 'time' dimension, and a new 'jdays' dimension.

1 2 3 4 5 6 7 8 9 10 11 12 | ```
##Example synthetic data:
data <- 1:(2 * 3 * 372 * 1)
dim(data) <- c(time = 372, lon = 2, lat = 3, model = 1)
time <- as.POSIXct(paste(sort(rep(1900:1911, 31)), 1, 1:31, sep = "-"), tz = "CET")
metadata <- list(time = list(standard_name = 'time', long_name = 'time', calendar = 'noleap',
units = 'days since 1970-01-01 00:00:00', prec = 'double',
dim = list(list(name = 'time', unlim = FALSE))))
attr(time, "variables") <- metadata
attr(data, 'Variables')$dat1$time <- time
a <- Threshold(data, dates = NULL, base.range = NULL, qtiles = 0.9, ncores = NULL)
str(a)
``` |

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