# Weibull-class

0th

Percentile

##### Class "Weibull"

The Weibull distribution with shape parameter $$a$$, by default $$=1$$, and scale parameter $$\sigma$$ has density given by, by default $$=1$$, $$d(x) = (a/\sigma) {(x/\sigma)}^{a-1} \exp (-{(x/\sigma)}^{a})$$ for $$x > 0$$.

C.f. rweibull

Keywords
distribution
##### Note

The density is $$d(x)=0$$ for $$x < 0$$. The cumulative is $$p(x) = 1 - \exp(-{(x/\sigma)}^a)$$, the mean is $$E(X) = \sigma \Gamma(1 + 1/a)$$, and the $$Var(X) = \sigma^2(\Gamma(1 + 2/a)-(\Gamma(1 + 1/a))^2)$$.

##### Objects from the Class

Objects can be created by calls of the form Weibull(shape, scale). This object is a Weibull distribution.

##### Slots

img

Object of class "Reals": The space of the image of this distribution has got dimension 1 and the name "Real Space".

param

Object of class "WeibullParameter": the parameter of this distribution (shape and scale), declared at its instantiation

r

Object of class "function": generates random numbers (calls function rweibull)

d

Object of class "function": density function (calls function dweibull)

p

Object of class "function": cumulative function (calls function pweibull)

q

Object of class "function": inverse of the cumulative function (calls function qweibull)

.withArith

logical: used internally to issue warnings as to interpretation of arithmetics

.withSim

logical: used internally to issue warnings as to accuracy

.logExact

logical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function

.lowerExact

logical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function

Symmetry

object of class "DistributionSymmetry"; used internally to avoid unnecessary calculations.

##### Extends

Class "AbscontDistribution", directly. Class "UnivariateDistribution", by class "AbscontDistribution". Class "Distribution", by class "AbscontDistribution".

##### Methods

initialize

signature(.Object = "Weibull"): initialize method

scale

signature(object = "Weibull"): returns the slot scale of the parameter of the distribution

scale<-

signature(object = "Weibull"): modifies the slot scale of the parameter of the distribution

shape

signature(object = "Weibull"): returns the slot shape of the parameter of the distribution

shape<-

signature(object = "Weibull"): modifies the slot shape of the parameter of the distribution

*

signature(e1 = "Weibull", e2 = "numeric"): For the Weibull distribution we use its closedness under positive scaling transformations.

WeibullParameter-class AbscontDistribution-class Reals-class rweibull

##### Aliases
• Weibull-class
• Weibull
• initialize,Weibull-method
##### Examples
# NOT RUN {
W <- Weibull(shape=1,scale=1) # W is a Weibull distribution with shape=1 and scale=1.
r(W)(1) # one random number generated from this distribution, e.g. 0.5204105
d(W)(1) # Density of this distribution is 0.3678794 for x=1.
p(W)(1) # Probability that x<1 is 0.6321206.
q(W)(.1) # Probability that x<0.1053605 is 0.1.
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
shape(W) # shape of this distribution is 1.
shape(W) <- 2 # shape of this distribution is now 2.
# }

Documentation reproduced from package distr, version 2.7.0, License: LGPL-3

### Community examples

Looks like there are no examples yet.