dpois(x, lambda, log=F) ppois(q, lambda) qpois(p, lambda) rpois(n, lambda, bigdata=F)
bdVector of (positive) quantiles.
Missing values (
NAs) are allowed.
bdVector of (positive) quantiles.
Missing values (
NAs) are allowed.
bdVector of probabilities.
Missing values (
NAs) are allowed.
length(n) is larger than 1, then
length(n) random values are returned.
bdVector of (positive) means.
TRUE, an object of type
bdVector is returned.
Otherwise, a
vector object is returned. This argument can be used only if the bigdata library section has been loaded.
TRUE,
dpois will return
the log of the density, not the density itself.
dpois),
probability (
ppois),
quantile (
qpois), or
random sample (
rpois)
for the Poisson distribution with mean
lambda.
The quantile is defined as the smallest value
q such that Pr(Poisson random
variate <=
x) >=
p.
rpois causes the creation of the dataset
.Random.seed if
it does not already exist, otherwise its value is updated.
Elements of
q or
p that are missing will cause the corresponding
elements of the result to be missing.
For details on the uniform random number generator implemented in S-PLUS,
see the
set.seed help file.
rpois(20,3) #sample of size 20 with a mean of 3