EmpiricalDistribution {distr} R Documentation

## Generating function "EmpiricalDistribution"

### Description

Generates an object of class "DiscreteDistribution"

### Usage

  EmpiricalDistribution(data, .withArith=FALSE, .withSim=FALSE,
.lowerExact = TRUE, .logExact = FALSE,
.DistrCollapse = getdistrOption("DistrCollapse"),
.DistrCollapse.Unique.Warn =
getdistrOption("DistrCollapse.Unique.Warn"),
.DistrResolution = getdistrOption("DistrResolution"),
Symmetry = NoSymmetry())


### Arguments

 data numeric vector with data. .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. .lowerExact normally not set by the user: whether the lower.tail=FALSE part is calculated exactly, avoing a “1-.”. .logExact normally not set by the user: whether in determining slots d,p,q, we make particular use of a logarithmic representation to enhance accuracy. .DistrCollapse controls whether in generating a new discrete distribution, support points closer together than .DistrResolution are collapsed. .DistrCollapse.Unique.Warn controls whether there is a warning whenever collapsing occurs or when two points are collapsed by a call to unique() (default behaviour if .DistrCollapse is FALSE) .DistrResolution minimal spacing between two mass points in a discrete distribution Symmetry you may help R in calculations if you tell it whether the distribution is non-symmetric (default) or symmetric with respect to a center; in this case use Symmetry=SphericalSymmetry(center).

### Details

The function is a simple utility function providing a wrapper to the generating function DiscreteDistribution.

Typical usage is

    EmpiricalDistribution(data)


### Value

Object of class "DiscreteDistribution"

### Author(s)

Matthias Kohl Matthias.Kohl@stamats.de

DiscreteDistribution DiscreteDistribution-class
x <- rnorm(20)