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 (
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-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)