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## Copyright (C) 2020 Berent Lunde
## License: GPL-3
# The Gumbel quantile function.
# Its documentation is combined with dgumbel.
#
#' @rdname dgumbel
#' @export
qgumbel <- function(p, location = 0, scale = 1, lower.tail = TRUE, grad=FALSE){
# check input
error_messages <- c()
error_messages_type <- c(
"p" = "\n Error: p must be a scalar or vector of type numeric between zero and one",
"location" = "\n Error: location must be a real number",
"scale" = "\n Error: scale must be a positive real number",
"lower.tail" = "\n Error: lower.tail must be of type logical with length 1",
"grad" = "\n Error: grad must be of type logical with length 1"
)
# check x
if(is.vector(p, mode="numeric") && all(p > 0) && all(p<1)){
#ok
}else{
error_messages <- c(error_messages, error_messages_type["p"])
}
# check location
if(is.numeric(location) && length(location)==1){
#ok
}else{
error_messages <- c(error_messages, error_messages_type["location"])
}
# check scale
if(is.numeric(scale) && length(scale)==1 && scale > 0){
#ok
}else{
error_messages <- c(error_messages, error_messages_type["scale"])
}
# check lower.tail
if(is.logical(lower.tail) && length(lower.tail)==1){
#ok
}else{
# error
error_messages <- c(error_messages, error_messages_type["lower.tail"])
}
# check grad
if(is.logical(grad) && length(grad)==1){
#ok
}else{
# error
error_messages <- c(error_messages, error_messages_type["grad"])
}
# Any error messages?
if(length(error_messages)>0)
stop(error_messages)
# if ok
if(!grad){
res <- .qgumbel(p, location, scale, lower.tail)
}else{
res <- .dqgumbel(p, location, scale, lower.tail)
}
return(res)
}
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