# EmpiricalDistribution

From distr v2.6
0th

Percentile

##### Generating function "EmpiricalDistribution"

Generates an object of class "DiscreteDistribution"

Keywords
distribution
##### 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

"DiscreteDistribution"