View source: R/HyperGeometric.R
random.HyperGeometric | R Documentation |
Please see the documentation of HyperGeometric()
for some properties
of the HyperGeometric distribution, as well as extensive examples
showing to how calculate p-values and confidence intervals.
## S3 method for class 'HyperGeometric' random(x, n = 1L, drop = TRUE, ...)
x |
A |
n |
The number of samples to draw. Defaults to |
drop |
logical. Should the result be simplified to a vector if possible? |
... |
Unused. Unevaluated arguments will generate a warning to catch mispellings or other possible errors. |
In case of a single distribution object or n = 1
, either a numeric
vector of length n
(if drop = TRUE
, default) or a matrix
with n
columns
(if drop = FALSE
).
Other HyperGeometric distribution:
cdf.HyperGeometric()
,
pdf.HyperGeometric()
,
quantile.HyperGeometric()
set.seed(27) X <- HyperGeometric(4, 5, 8) X random(X, 10) pdf(X, 2) log_pdf(X, 2) cdf(X, 4) quantile(X, 0.7)
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