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
RtoDPQ.d(r, e = getdistrOption("RtoDPQ.e"))
r |
the random number generator |
e |
10^e numbers are generated, a higher number leads to a better result. |
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.
RtoDPQ returns a list of functions.
dfun |
density |
pfun |
cumulative distribution function |
qfun |
quantile function |
Use RtoDPQ for absolutely continuous and RtoDPQ.d for discrete distributions.
Thomas Stabla statho3@web.de,
Florian Camphausen fcampi@gmx.de,
Peter Ruckdeschel peter.ruckdeschel@uni-oldenburg.de,
Matthias Kohl Matthias.Kohl@stamats.de
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
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