| Unif-class | R Documentation |
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 can be created by calls of the form Unif(Min, Max).
This object is a uniform distribution.
imgObject of class "Reals": The space of the image of this distribution has got dimension 1
and the name "Real Space".
paramObject of class "UnifParameter": the parameter of this distribution (Min and Max),
declared at its instantiation
rObject of class "function": generates random numbers (calls function runif)
dObject of class "function": density function (calls function dunif)
pObject of class "function": cumulative function (calls function punif)
qObject of class "function": inverse of the cumulative function (calls function qunif)
.withArithlogical: used internally to issue warnings as to interpretation of arithmetics
.withSimlogical: used internally to issue warnings as to accuracy
.logExactlogical: used internally to flag the case where there are explicit formulae for the log version of density, cdf, and quantile function
.lowerExactlogical: used internally to flag the case where there are explicit formulae for the lower tail version of cdf and quantile function
Symmetryobject of class "DistributionSymmetry";
used internally to avoid unnecessary calculations.
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"): 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’
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.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.
## 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")
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