| Exp-class {distr} | R Documentation |
Class "Exp"
Description
The exponential distribution with rate \lambda has density
f(x) = \lambda {e}^{- \lambda x}
for x \ge 0.
C.f. rexp
Objects from the Class
Objects can be created by calls of the form Exp(rate).
This object is an exponential distribution.
Slots
imgObject of class
"Reals": The space of the image of this distribution has got dimension 1 and the name "Real Space".paramObject of class
"ExpParameter": the parameter of this distribution (rate), declared at its instantiationrObject of class
"function": generates random numbers (calls function rexp)dObject of class
"function": density function (calls function dexp)pObject of class
"function": cumulative function (calls function pexp)qObject of class
"function": inverse of the cumulative function (calls function qexp).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.
Extends
Class "ExpOrGammaOrChisq", directly.
Class "AbscontDistribution", by class "ExpOrGammaOrChisq".
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 "Exp" also is
a Gamma distribution with parameters shape = 1, scale = 1/rate(obj) and a Weibull distribution with
parameters shape = 1, scale = 1/rate(obj)
Methods
- initialize
signature(.Object = "Exp"): initialize method- rate
signature(object = "Exp"): returns the slot rate of the parameter of the distribution- rate<-
signature(object = "Exp"): modifies the slot rate of the parameter of the distribution- *
signature(e1 = "Exp", e2 = "numeric"): For the exponential distribution we use its closedness under positive scaling transformations.
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
ExpParameter-class
AbscontDistribution-class
Reals-class
rexp
Examples
E <- Exp(rate = 1) # E is a exp distribution with rate = 1.
r(E)(1) # one random number generated from this distribution, e.g. 0.4190765
d(E)(1) # Density of this distribution is 0.3678794 for x = 1.
p(E)(1) # Probability that x < 1 is 0.6321206.
q(E)(.1) # Probability that x < 0.1053605 is 0.1.
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
rate(E) # rate of this distribution is 1.
rate(E) <- 2 # rate of this distribution is now 2.
is(E, "Gammad") # yes
as(E,"Gammad")
is(E, "Weibull")
E+E+E ### a Gammad -distribution
2*E+Gammad(scale=1)