dmultinomial | R Documentation |
Generate multinomially distributed random number vectors and compute multinomial probabilities.
dmultinomial(x, size=NULL, prob, log=FALSE)
rmultinomial(n, size, prob)
x |
vector or matrix of length (or ncol) K of integers in ‘0:size’. |
n |
number of random vectors to draw. |
size |
a vector of integers, say N, specifying the total number of objects that are put into K boxes in the typical multinomial experiment. For ‘dmultinom’, it defaults to ‘sum(x)’. The first element correspond to the vector ‘prob’ or the first row of ‘prob’, ... |
prob |
Numeric non-negative vector of length K, or matrix of size ‘(x x K)’ specifying the probability for the K classes; is internally normalized to sum 1. |
log |
Logical; if TRUE, log probabilities are computed. |
These functions are the vectorized versions of
rmultinom
and dmultinom
. Recycling is
permitted.
x <- c(100, 200, 700)
x1 <- matrix(c(100, 200, 700, 200, 100, 700, 700, 200, 100), byrow=TRUE, ncol=3)
p <- c(1, 2, 7)
p1 <- matrix(c(1, 2, 7, 2, 1, 7, 7, 2, 1), byrow=TRUE, ncol=3)
dmultinomial(x1, prob=p)
## is equivalent to
c( dmultinom(x1[1, ], prob=p),
dmultinom(x1[2, ], prob=p),
dmultinom(x1[3, ], prob=p))
dmultinomial(x1, prob=p1, log=TRUE)
## is equivalent to
c( dmultinom(x1[1, ], prob=p1[1, ], log=TRUE),
dmultinom(x1[2, ], prob=p1[2, ], log=TRUE),
dmultinom(x1[3, ], prob=p1[3, ], log=TRUE))
dmultinomial(x, prob=p1, log=TRUE)
## is equivalent to
c( dmultinom(x, prob=p1[1, ], log=TRUE),
dmultinom(x, prob=p1[2, ], log=TRUE),
dmultinom(x, prob=p1[3, ], log=TRUE))
prob <- c(1, 2, 7)
rmultinomial(4, 1000, prob)
rmultinomial(4, c(10, 100, 1000, 10000), prob)
## rmultinomial used with mcstoc
## (uncertain size and prob)
s <- mcstoc(rpois, "U", lambda=50)
p <- mcstoc(rdirichlet, "U", nvariates=3, alpha=c(4, 10, 20))
mcstoc(rmultinomial, "VU", nvariates=3, size=s, prob=p)
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