AbscontDistribution-class is the mother-class of the classes
Weibull. Further absolutely continuous distributions can be defined either by declaration of
own random number generator, density, cumulative distribution and quantile functions, or as result of a
convolution of two absolutely continuous distributions or by application of a mathematical operator to an absolutely
Objects from the Class
Objects can be created by calls of the form
new("AbscontDistribution", r, d, p, q).
More comfortably, you may use the generating function
The result of these calls is an absolutely continuous distribution.
"Distribution", by class
Internal virtual superclass "AcDcLcDistribution"
As many operations should be valid no matter whether the operands
are of class
there is a class union of these classes called
in partiucalar methods for
"^" (see operators-methods) and methods
convpow are defined for this
- absolutely continuous distribution
- S4 distribution class
N <- Norm() # N is a normal distribution with mean=0 and sd=1. E <- Exp() # E is an exponential distribution with rate=1. A1 <- E+1 # a new absolutely continuous distributions with exact slots d, p, q A2 <- A1*3 # a new absolutely continuous distributions with exact slots d, p, q A3 <- N*0.9 + E*0.1 # a new absolutely continuous distribution with approximated slots d, p, q r(A3)(1) # one random number generated from this distribution, e.g. -0.7150937 d(A3)(0) # The (approximated) density for x=0 is 0.43799. p(A3)(0) # The (approximated) probability that x <= 0 is 0.45620. q(A3)(.1) # The (approximated) 10 percent quantile is -1.06015.