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

UnivariateDistribution-class, density, approxfun, ecdf

### Examples

set.seed(20230508)
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
## IGNORE_RDIFF_BEGIN
x\$dfun(4)
RtoDPQ(r = rn2, e = 5, n = 1024) # for a better result
## IGNORE_RDIFF_END
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 2.9.3 Index]