Get the quantile theta from several distributions with user defined mean and variance.
getQuantile(
Ftheta,
mu,
sigma,
dist,
par.location = 0,
par.scale = 1,
par.shape = 1,
dist.par = NULL
)scalar. Quantile of the data distribution. The values that take are between (0,1).
scalar. Expected value of the desired distribution.
scalar. Standard deviation of the desired distribution.
character string. Select from:
"Uniform: Continuous Uniform distribution .
"Normal": Normal distribution (default).
"Normal2": Squared Normal distribution (also known as Chi-squared).
"DoubleExp": Double exponential distribution (also known as Laplace distribution).
"DoubleExp2": Double exponential squared distribution from a DoubleExp(0,1).
"LogNormal": Lognormal distribution.
"Gamma": Gamma distribution.
"Weibull": Weibull distribution.
"t": Student-t distribution.
scalar. Location parameter of the desired distribution. Default 0**.
scalar. Scale parameter of the desired distribution. Default 1**.
scalar. Shape parameter of the desired distribution, Default 1.
vector. Overwrite par.location, par.scale, par.shape. Depends on the distribution (default NULL):
"Uniform: no matter how is defined always gives numbers between 0 and 1.
"Normal": c(location, scale).
"Normal2": c(location, scale).
"DoubleExp": c(location, scale).
"DoubleExp2": c(location, scale).
"LogNormal": c(location, scale).
"Gamma": c(scale, shape).
"Weibull": c(shape, scale).
"t": c(degrees of freedom).
A quantile theta of the selected Ftheta distribution with its parameters.
# NOT RUN {
getQuantile(0.5, 0, 1, "Normal")
# }
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