size
independent standard
Normal deviates.
dnrange(x, size, nevals=200) pnrange(q, size, nevals=200) qnrange(p, size, nevals=200) rnrange(n, size, bigdata=F)
bdVector
of values for which the density is desired.
This will be replicated to be the length of
size
if
size
is longer.
bdVector
of values for which the cumulative probability is desired.
This will be replicated to be the length of
size
if
size
is longer.
bdVector
of probabilities for which quantiles are desired.
This will be replicated to be the length of
size
if
size
is longer.
Missing values are not accepted.
n
is
greater than
1
, then the
length(n)
random numbers are returned.
bdVector
giving the size of the sample of Normal deviates.
This is replicated to be the length of
p
,
q
or
x
, or the number
of replicates generated, if it is shorter than this.
Missing values are not accepted in
rnrange
and
qnrange
.
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.
bdVector
giving the density, cumulative probability, quantiles,
or random deviates for the distribution.
rnrange
causes creation of the dataset
.Random.seed
if
it does not already exist, otherwise its value is updated.
This distribution is primarily used for R-charts in quality control work.
For details on the uniform random number generator implemented in S-PLUS,
see the
set.seed
help file.
Hartley, H. O. (1942). The range in random samples. Biometrika 32 334-348.
qnrange(c(.0005,.9995), 16) # 99.9% limits for an R-chart