dweibull(x, shape, scale=1, log=F) pweibull(q, shape, scale=1) qweibull(p, shape, scale=1) rweibull(n, shape, scale=1, bigdata=F)
bdVector
of (positive) quantiles.
Missing values (
NA
s) are allowed.
bdVector
of (positive) quantiles.
Missing values (
NA
s) are allowed.
bdVector
of probabilities.
Missing values (
NA
s) are allowed.
length(n)
is larger than 1, then
length(n)
random values are returned.
bdVector
of (positive-valued) shape parameters.
bdVector
of (positive-valued) scale parameters.
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
,
dweibull
will return
the log of the density, not the density itself.
dweibull
),
probability (
pweibull
),
quantile (
qweibull
), or
random sample (
rweibull
)
for the Weibull distribution with
shape
parameter.
rweibull
causes 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.
dweibull(1:8, .2)