EVPlot: 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
)
Value
An extreme value plot (freqency or growth curve) with intervals to quantify uncertainty
Arguments
- x
a numeric vector. The sample of interest
- dist
a choice of distribution. "GEV", "GenLog", "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.
Examples
Run this code#Get an AMAX sample and plot the growth curve with the GEV distribution
AM.203018 <- GetAM(203018)
EVPlot(AM.203018$Flow, dist = "GEV")
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