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