Unif-class {distr} | R Documentation |
Class "Unif"
Description
The uniform distribution has density
d(x) = \frac{1}{max-min}
for min
, by default =0
, \le x \le 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
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 instantiationr
Object of class
"function"
: generates random numbers (calls functionrunif
)d
Object of class
"function"
: density function (calls functiondunif
)p
Object of class
"function"
: cumulative function (calls functionpunif
)q
Object of class
"function"
: inverse of the cumulative function (calls functionqunif
).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"
.
Is-Relations
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
.
Methods
- initialize
signature(.Object = "Unif")
: initialize method- Min
signature(object = "Unif")
: returns the slotMin
of the parameter of the distribution- Min<-
signature(object = "Unif")
: modifies the slotMin
of the parameter of the distribution- Max
signature(object = "Unif")
: returns the slotMax
of the parameter of the distribution- Max<-
signature(object = "Unif")
: modifies the slotMax
of the parameter of the 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’
Author(s)
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de,
Matthias Kohl Matthias.Kohl@stamats.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.
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
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")