dgeom(x, prob, log=F) pgeom(q, prob) qgeom(p, prob) rgeom(n, prob, 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;
otherwise
n random values are returned.
bdVector of probability parameters between 0 and 1.
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,
dgeom will return
the log of the density, not the density itself.
dgeom),
probability (
pgeom),
quantile (
qgeom), or
random sample (
rgeom)
for the Geometric distribution with parameter
prob.
The quantile is defined as the smallest value
q such that Pr(Geometric random
variate <=
x) >=
p.
rgeom 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.
rgeom(20, 0.6) #sample of size 20 with parameter 0.6