| vfd | R Documentation | 
Variate Generation for FALSE Distribution
vfd(n, df1, df2, ncp = 0, stream = NULL, antithetic = FALSE, asList = FALSE)
| n | number of observations | 
| df1 | Degrees of freedom > 0 | 
| df2 | Degrees of freedom > 0 | 
| ncp | Non-centrality parameter >= 0 | 
| stream | if  | 
| antithetic | if  | 
| asList | if  | 
Generates random variates from the FALSE distribution.
FALSE variates are generated by inverting uniform(0,1) variates
produced either by stats::runif (if stream is
NULL) or by rstream.sample
(if stream is not NULL).
In either case, stats::qf is used to
invert the uniform(0,1) variate(s).
In this way, using vfd provides a monotone and synchronized
binomial variate generator, although not particularly fast.
The stream indicated must be an integer between 1 and 25 inclusive.
The F distribution with df1 = n_1 and df2
= n_2 degrees of freedom has density
f(x) = \frac {\Gamma(n_1/2 + n_2/2)} {\Gamma(n_1/2) \ \Gamma(n_2/2)}
                \left( \frac{n_1}{n_2} \right)^{n_1/2} x^{n_1/2 - 1}
                \left( 1 + \frac{n_1x}{n_2} \right) ^ {-(n_1 + n_2)/2}
for x > 0.
If asList is FALSE (default), return a vector of random variates.
Otherwise, return a list with components suitable for visualizing inversion, specifically:
| u | A vector of generated U(0,1) variates | 
| x | A vector of FALSE random variates | 
| quantile | Parameterized quantile function | 
| text | Parameterized title of distribution | 
Barry Lawson (blawson@bates.edu), 
Larry Leemis (leemis@math.wm.edu), 
Vadim Kudlay (vkudlay@nvidia.com)
rstream, set.seed,
stats::runif
stats::rf
 set.seed(8675309)
 # NOTE: following inverts rstream::rstream.sample using stats::qf
 vfd(3, df1 = 1, df2 = 2, ncp = 10)
 set.seed(8675309)
 # NOTE: following inverts rstream::rstream.sample using stats::qf
 vfd(3, 5, 5, stream = 1)
 vfd(3, 5, 5, stream = 2)
 set.seed(8675309)
 # NOTE: following inverts rstream::rstream.sample using stats::qf
 vfd(1, 5, 5, stream = 1)
 vfd(1, 5, 5, stream = 2)
 vfd(1, 5, 5, stream = 1)
 vfd(1, 5, 5, stream = 2)
 vfd(1, 5, 5, stream = 1)
 vfd(1, 5, 5, stream = 2)
 set.seed(8675309)
 variates <- vfd(100, 5, 5, stream = 1)
 set.seed(8675309)
 variates <- vfd(100, 5, 5, stream = 1, antithetic = TRUE)
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