# RtoDPQ.d

0th

Percentile

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

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

Keywords
distribution, arith, math
##### 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.

UnivariateDistribution-class, density, approxfun, ecdf

• RtoDPQ.d
##### Examples
# NOT RUN {
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
# }

Documentation reproduced from package distr, version 2.8.0, License: LGPL-3

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