Unif-class {distr}R Documentation

Class "Unif"

Description

The uniform distribution has density

d(x) = 1/(max-min)

for min, by default =0, <= x <= max, by default =1. C.f. runif

Objects from the Class

Objects can be created by calls of the form Unif(Min, Max). This object is a uniform distribution.

Slots

*
signature(e1 = "Unif", e2 = "numeric"): multiplication of this uniform distribution by an object of class `numeric'
+
signature(e1 = "Unif", e2 = "numeric"): addition of this uniform distribution to an object of class `numeric'
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 "UnifParameter": the parameter of this distribution (Min and Max), declared at its instantiation
r:
Object of class "function": generates random numbers (calls function runif)
d:
Object of class "function": density function (calls function dunif)
p:
Object of class "function": cumulative function (calls function punif)
q:
Object of class "function": inverse of the cumulative function (calls function qunif)

Extends

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

Methods

initialize
signature(.Object = "Unif"): initialize method
Min
signature(object = "Unif"): returns the slot Min of the parameter of the distribution
Min<-
signature(object = "Unif"): modifies the slot Min of the parameter of the distribution
Max
signature(object = "Unif"): returns the slot Max of the parameter of the distribution
Max<-
signature(object = "Unif"): modifies the slot Max of the parameter of the distribution

Author(s)

Thomas Stabla Thomas.Stabla@uni-bayreuth.de,
Florian Camphausen Florian.Camphausen@uni-bayreuth.de,
Peter Ruckdeschel Peter.Ruckdeschel@uni-bayreuth.de,
Matthias Kohl Matthias.Kohl@uni-bayreuth.de

See Also

UnifParameter-class AbscontDistribution-class Reals-class runif

Examples

U=Unif(Min=0,Max=2) # U is a uniform distribution with Min=0 and Max=2.
r(U)(1) # one random number generated from this distribution, e.g. 1.984357
d(U)(1) # Density of this distribution is 0.5 for x=1.
p(U)(1) # Probability that x<1 is 0.5.
q(U)(.1) # Probability that x<0.2 is 0.1.
Min(U) # Min of this distribution is 0.
Min(U)=1 # Min of this distribution is now 1.

[Package distr version 1.5 Index]