Geom-class {distr} | R Documentation |

## Class "Geom"

### Description

The geometric distribution with `prob`

`= p`

has density

`p(x) = p {(1-p)}^{x}`

for `x = 0, 1, 2, \ldots`

C.f. `rgeom`

### Objects from the Class

Objects can be created by calls of the form `Geom(prob)`

.
This object is a geometric distribution.

### Slots

`img`

Object of class

`"Naturals"`

: The space of the image of this distribution has got dimension 1 and the name "Natural Space".`param`

Object of class

`"NbinomParameter"`

: the parameter of this distribution (prob), declared at its instantiation (size=1)`r`

Object of class

`"function"`

: generates random numbers (calls function rgeom)`d`

Object of class

`"function"`

: density function (calls function dgeom)`p`

Object of class

`"function"`

: cumulative function (calls function pgeom)`q`

Object of class

`"function"`

: inverse of the cumulative function (calls function qgeom). The quantile is defined as the smallest value`x`

such that`F(x) \ge p`

, where`F`

is the distribution function.`support`

Object of class

`"numeric"`

: a (sorted) vector containing the support of the discrete density function`.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 `"DiscreteDistribution"`

, directly.

Class `"Nbinom"`

, directly.

Class `"UnivariateDistribution"`

, by class `"DiscreteDistribution"`

.

Class `"Distribution"`

, by class `"DiscreteDistribution"`

.

### Contains-Relations

By means of a `contains`

argument in the class declaration, R “knows”
that a distribution object `obj`

of class `"Geom"`

also is a
negative Binomial distribution with parameters `size = 1, prob = prob(obj)`

### Methods

- initialize
`signature(.Object = "Geom")`

: initialize method- prob
`signature(object = "Geom")`

: returns the slot prob of the parameter of the distribution- prob<-
`signature(object = "Geom")`

: modifies the slot prob of the parameter of the distribution

### Note

Working with a computer, we use a finite interval as support which carries
at least mass `1-getdistrOption("TruncQuantile")`

.

### 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

`Nbinom-class`

`GeomParameter-class`

`DiscreteDistribution-class`

`Naturals-class`

`rgeom`

### Examples

```
G <- Geom(prob = 0.5) # G is a geometric distribution with prob = 0.5.
r(G)(1) # one random number generated from this distribution, e.g. 0
d(G)(1) # Density of this distribution is 0.25 for x = 1.
p(G)(1) # Probability that x<1 is 0.75.
q(G)(.1) # x = 0 is the smallest value x such that p(G)(x) >= 0.1.
## in RStudio or Jupyter IRKernel, use q.l(.)(.) instead of q(.)(.)
prob(G) # prob of this distribution is 0.5.
prob(G) <- 0.6 # prob of this distribution is now 0.6.
as(G,"Nbinom")
G+G+G
```

*distr*version 2.9.3 Index]