SimData | R Documentation |
Simulation of a random sample from the generalised extreme value, generalised logistic, Gumbel, Kappa3, or generalised Pareto distributions
SimData(n, pars = NULL, dist = "GenLog", GF = NULL)
n |
sample size to be simulated |
pars |
vector of parameters in the order of location, scale, shape (only location and shape for Gumbel) |
dist |
choice of distribution. Either "GEV", "GenLog", "Gumbel", "Kappa3", or "GenPareto" |
GF |
vector of GF inputs in the order of Lcv, LSkew, QMED (only Lcv and QMED if dist = "Gumbel") |
The simulated sample can be generated using distribution parameters, or the growth factor (GF) inputs; linear coefficient of variationn (Lcv), linear skewness (LSkew) & the median annual maximum (QMED).
A random sample of size n for the chosen distribution.
Anthony Hammond
#Simulate a sample of size 30 using parameters GenLog and parameters 299, 51, -0.042
SimData(30, pars = c(299, 51, -0.042), dist = "GenLog")
#Now simulate using the Lcv, Lskew, and median (0.17, 0.04, 310)
SimData(30, GF = c(0.17, 0.04, 310), dist = "GenLog")
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