AbscontDistribution {distr} | R Documentation |
Generates an object of class "AbscontDistribution"
AbscontDistribution(r) AbscontDistribution(r = NULL, d) AbscontDistribution(r = NULL, d = NULL, p) AbscontDistribution(r = NULL, d = NULL, p = NULL, d) AbscontDistribution(r, d, p, q) AbscontDistribution(r = NULL, d = NULL, p = NULL, q = NULL, gaps = NULL, param = NULL, img = new("Reals"), .withSim = FALSE, .withArith = FALSE, low1 = NULL, up1 = NULL, low = -Inf, up =Inf, withStand = FALSE, ngrid = getdistrOption("DefaultNrGridPoints"), ep = getdistrOption("TruncQuantile"), e = getdistrOption("RtoDPQ.e"), withgaps = getdistrOption("withgaps"))
r |
slot r to be filled |
d |
slot d to be filled |
p |
slot p to be filled |
q |
slot q to be filled |
gaps |
slot gaps (of class "matrix" with two columns) to be filled
(i.e. t(gaps) must be ordered if read as vector) |
param |
parameter (of class "OptionalParameter" ) |
img |
image range of the distribution (of class "rSpace" ) |
low1 |
lower bound (to be the lower TruncQuantile-quantile of the distribution) |
up1 |
upper bound (to be the upper TruncQuantile-quantile of the distribution) |
low |
lower bound (to be the 100-percent-quantile of the distribution) |
up |
upper bound (to be the 100-percent-quantile of the distribution) |
withStand |
logical: shall we standardize argument function d
to integrate to 1 — default is no resp. FALSE |
ngrid |
number of gridpoints |
ep |
tolerance epsilon |
e |
exponent to base 10 to be used for simulations |
withgaps |
logical; shall gaps be reconstructed empirically? |
.withArith |
normally not set by the user, but if determining the entries supp , prob
distributional arithmetics was involved, you may set this to TRUE . |
.withSim |
normally not set by the user, but if determining the entries supp , prob
simulations were involved, you may set this to TRUE . |
Minimally, only one of the slots r
, d
, p
or q
needs to be given as argument.
The other non-given slots are then reconstructed according to the following scheme:
r | d | p | q | proceding |
- | - | - | - | excluded |
- | + | - | - | p by .D2P , q by .P2Q , r by q(runif(n)) |
- | - | + | - | d by .P2D , q by .P2Q , r by q(runif(n)) |
- | + | + | - | q by .P2Q , r by q(runif(n)) |
- | - | - | + | p by .Q2P , d by .P2D , r by q(runif(n)) |
- | + | - | + | p by .Q2P , r by q(runif(n)) |
- | - | + | + | d by .P2D , r by q(runif(n)) |
- | + | + | + | r by q(runif(n)) |
+ | - | - | - | call to RtoDPQ |
+ | + | - | - | p by .D2P , q by .P2Q |
+ | - | + | - | d by .P2D , q by .P2Q |
+ | + | + | - | q by .P2Q |
+ | - | - | + | p by .Q2P , d by .P2D |
+ | + | - | + | p by .Q2P |
+ | - | + | + | d by .P2D |
+ | + | + | + | nothing |
For this purpose, one may alternatively give arguments low1
and up1
(NULL
each by default,
and determined through slot q
, resp. p
, resp. d
, resp. r
in this order
according to availability),
for the (finite) range of values in the support of this distribution,
as well as the possibly infinite theoretical range given by
arguments low
and up
with default values -Inf
, Inf
, respectively.
Of course all other slots may be specified as arguments.
Object of class "AbscontDistribution"
Peter Ruckdeschel Peter.Ruckdeschel@itwm.fraunhofer.de
AbscontDistribution-class
,
DiscreteDistribution-class
,
RtoDPQ
plot(Norm()) plot(AbscontDistribution(r = rnorm)) plot(AbscontDistribution(d = dnorm)) plot(AbscontDistribution(p = pnorm)) plot(AbscontDistribution(q = qnorm)) plot(Ac <- AbscontDistribution(d = function(x, log = FALSE){ d <- exp(-abs(x^3)) ## unstandardized!! if(log) d <- log(d) return(d)}, withStand = TRUE))