values is proportional
to the values given in probs, which are normalized to sum up to
1. ddiscrete gives the density, pdiscrete gives the
distribution function, qdiscrete gives the quantile function
and rdiscrete generates random deviates.
ddiscrete(x, probs, values = 1:length(probs))
pdiscrete(q, probs, values = 1:length(probs))
qdiscrete(p, probs, values = 1:length(probs))
rdiscrete(n, probs, values = 1:length(probs), ...)sample and provided for backwards compatibility only.
## a vector of length 30 whose elements are 1 with probability 0.2
## and 2 with probability 0.8.
rdiscrete (30, c(0.2, 0.8))
## a vector of length 100 whose elements are A, B, C, D.
## The probabilities of the four values have the relation 1:2:3:3
rdiscrete (100, c(1,2,3,3), c("A","B","C","D"))
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