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
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
"ExpParameter"
: the parameter of this distribution (rate), declared at its instantiationr
Object of class
"function"
: generates random numbers (calls function rexp)d
Object of class
"function"
: density function (calls function dexp)p
Object of class
"function"
: cumulative function (calls function pexp)q
Object of class
"function"
: inverse of the cumulative function (calls function qexp).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 "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)