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#' Parameter_Global_Year transforms a set of parameters from Year to global effect, or reverse
#' @title Transform a set of parameters from Year to global effect, or reverse
#' @author Marc Girondot \email{marc.girondot@@gmail.com}
#' @return Return a set of modified parameters
#' @param parameters Set of current parameters
#' @param parname Name of parameter to transform
#' @param series Set of series (see description)
#' @param sep_year Character used to separate the year
#' @param perYear TRUE if year-specific values must be setup
#' @description This function is used to transform a set of parameters
#' that uses Peak, LengthB, LengthE, B, E, or Length to the same parameter
#' with Year effect, or reverse.\cr
#' The parameter series can be or a result from add_phenology() or from
#' fit_phenology() or simply a vector of names.\cr
#' If this is a vector of names, it is checked to remove _ characters.
#' @examples
#' \dontrun{
#' Parameter_Global_Year(parameters=c("Peak_Beach1-2018"=151, "Peak_Beach1-2019"=161),
#' parname="Peak", perYear=FALSE)
#' Parameter_Global_Year(parameters=c("Peak"=151),
#' series = c("beach1", "beach2"),
#' parname="Peak", perYear=TRUE)
#' }
#' @export
Parameter_Global_Year <-
function(parameters=stop("A set of parameters must be indicated"),
parname=c("Peak", "LengthB", "LengthE", "B", "E", "Length"),
series=NULL,
sep_year="-",
perYear=TRUE) {
parname <- match.arg(parname, c("Peak", "LengthB", "LengthE", "B", "E", "Length"),
several.ok = FALSE)
if (!is.null(class(series))) {
if (inherits(series, "phenologydata")) series <- names(series)
if (inherits(series, "phenology")) series <- names(series$data)
if (any(grepl("_", series))) {
print("The character _ is forbiden in names of timesseries. It has been changed to '.'.")
series <- gsub("_", ".", names(series))
}
}
px <- which(substr(names(parameters), 1, nchar(parname)) == parname)
if (perYear) {
# J'en ai un seul; je dois créer
if (is.null(series)) stop("A list of series must be provided")
sseries <- gsub(paste0(sep_year, "([^", sep_year, "]*)$"), "_\\1", series)
cn <- strsplit(sseries, "_")
rg <- unique(sapply(cn, FUN = function(x) x[[length(x)]]))
ppname <- paste0(parname, "_", rg)
pp <- rep(parameters[px], length(ppname))
names(pp) <- ppname
parameters <- c(parameters[-px], pp)
} else {
pp <- mean(parameters[px])
names(pp) <- parname
parameters <- c(parameters[-px], pp)
}
return(parameters)
}
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