R: Default procedure to fill slots d,p,q given r for discrete...

RtoDPQ.d {distr} | R Documentation

## Default procedure to fill slots d,p,q given r for discrete distributions

### Description

function to do get empirical density, cumulative distribution and quantile function from random numbers

### Usage

    RtoDPQ.d(r, e = getdistrOption("RtoDPQ.e"))

### Arguments

`r` | the random number generator
`e` | 10^e numbers are generated, a higher number leads to a better result.

### Details

`RtoDPQ.d` generates 10^e random numbers, by default e = `RtoDPQ.e` which are used to produce a density, cdf and quantile function. Of course, the results are usually not exact as they rely on random numbers.

### Value

RtoDPQ returns a list of functions.

`dfun` | density
`pfun` | cumulative distribution function
`qfun` | quantile function

### Note

Use RtoDPQ for absolutely continuous and RtoDPQ.d for discrete distributions.

### 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

`UnivariateDistribution-class`, `density`, `approxfun`, `ecdf`

### Examples

    rn2 <- function(n){rnorm(n)^2}
    x <- RtoDPQ(r = rn2, e = 4, n = 512)
    # returns density, cumulative distribution and quantile function of
    # squared standard  normal distribution

    x$dfun(4)
    RtoDPQ(r = rn2, e = 5, n = 1024) # for a better result

    rp2 <- function(n){rpois(n, lambda = 1)^2}
    x <- RtoDPQ.d(r = rp2, e = 5)
    # returns density, cumulative distribution and quantile function of
    # squared Poisson distribution with parameter lambda=1

[Package distr version 2.8.0 Index]