Unif-class {distr} | R Documentation |
The uniform distribution has density
d(x) = 1/(max-min)
for min, by default =0, <= x <= max, by default =1.
C.f. runif
Objects can be created by calls of the form Unif(Min, Max)
.
This object is a uniform distribution.
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
:"Reals"
: The space of the image of this distribution has got dimension 1
and the name "Real Space". param
:"UnifParameter"
: the parameter of this distribution (Min and Max),
declared at its instantiation r
:"function"
: generates random numbers (calls function runif
)d
:"function"
: density function (calls function dunif
)p
:"function"
: cumulative function (calls function punif
)q
:"function"
: inverse of the cumulative function (calls function qunif
)
Class "AbscontDistribution"
, directly.
Class "UnivariateDistribution"
, by class "AbscontDistribution"
.
Class "Distribution"
, by class "AbscontDistribution"
.
By means of setIs
, R ``knows'' that a distribution object obj
of class "Unif"
with Min 0 and Max 1 also is
a Beta distribution with parameters shape1 = 1, shape2 = 1, ncp = 0
.
signature(.Object = "Unif")
: initialize method signature(object = "Unif")
: returns the slot Min
of the parameter of the distribution signature(object = "Unif")
: modifies the slot Min
of the parameter of the distribution signature(object = "Unif")
: returns the slot Max
of the parameter of the distribution signature(object = "Unif")
: modifies the slot Max
of the parameter of the distribution signature(e1 = "Unif", e2 = "numeric")
:
For the uniform distribution we use its closedness under scaling transformations.
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel Peter.Ruckdeschel@itwm.fraunhofer.de,
Matthias Kohl Matthias.Kohl@stamats.de
UnifParameter-class
AbscontDistribution-class
Reals-class
runif
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. Min(U) # Min of this distribution is 1. Min(U) <- 0 is(U/2,"Beta") # yes V <- U/2; as(V,"Beta")