EVPlot: Extreme value plot (frequency and growth curves)

In UKFE: UK Flood Estimation

Extreme value plot (frequency and growth curves)

Description

Plots the extreme value frequency curve or growth curve with observed sample points.

Usage

EVPlot(
  x,
  dist = "GenLog",
  scaled = TRUE,
  Title = "Extreme value plot",
  ylabel = NULL,
  LineName = NULL,
  Unc = TRUE
)

Arguments

x	a numeric vector. The sample of interest
dist	a choice of distribution. "GEV", "GenLog", "Kappa3","Gumbel" or "GenPareto". The default is "GenLog"
scaled	logical argument with a default of TRUE. If TRUE the plot is a growth curve (scaled by the QMED). If FALSE, the plot is a frequency curve
Title	a character string. The user chosen plot title. The default is "Extreme value plot"
ylabel	a character string. The user chosen label for the y axis. The default is "Q/QMED" if scaled = TRUE and "Discharge (m3/s)" if scaled = FALSE
LineName	a character string. User chosen label for the plotted curve
Unc	logical argument with a default of TRUE. If TRUE, 95 percent uncertainty intervals are plotted.

Details

The plotting has the option of generalised extreme value (GEV), generalised Pareto (GenPareto), Gumbel, or generalised logistic (GenLog) distributions. The uncertainty is quantified by bootstrapping.

Value

An extreme value plot (frequency or growth curve) with intervals to quantify uncertainty

Author(s)

Anthony Hammond

Examples

#Get an AMAX sample and plot the growth curve with the GEV distribution
AM.203018 <- GetAM(203018)
EVPlot(AM.203018$Flow, dist = "GEV")

UKFE documentation built on April 4, 2025, 12:55 a.m.