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NAG[g05mjc] NAG[nag_rngs_binomial] - Generates a vector of random integers from a binomial distribution, seeds and generator number passed explicitly
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Calling Sequence
g05mjc(mode, m, p, x, igen, iseed, r, 'n'=n, 'fail'=fail)
nag_rngs_binomial(. . .)
Parameters
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mode - integer;
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On entry: a code for selecting the operation to be performed by the function:
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 Set up reference vector only.
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 Generate variates using reference vector set up in a prior call to nag_rngs_binomial (g05mjc).
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 Set up reference vector and generate variates.
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 Generate variates without using the reference vector.
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Constraint:  . .
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m - integer;
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On entry:  , the number of trials of the distribution.
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Constraint:  . .
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p - float;
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On entry: the probability of success  of the binomial distribution.
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Constraint:  . .
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x - Vector(1..n, datatype=integer[kernelopts('wordsize')/8]);
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On exit: the  pseudo-random numbers from the specified binomial distribution.
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iseed - Vector(1.. , datatype=integer[kernelopts('wordsize')/8]);
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On entry: contains values which define the current state of the selected generator.
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On exit: contains updated values defining the new state of the selected generator.
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r - Vector(1.. , datatype=float[8]);
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Note: the dimension, dim, of the array r must be at least  .
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On entry: if mode is set to  , the reference vector from the previous call to nag_rngs_binomial (g05mjc).
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On exit: the reference vector.
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'n'=n - integer; (optional)
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On entry:  , the number of pseudo-random numbers to be generated.
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Constraint:  . .
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'fail'=fail - table; (optional)
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The NAG error argument, see the documentation for NagError.
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Description
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Purpose
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nag_rngs_binomial (g05mjc) generates a vector of pseudo-random integers from the discrete binomial distribution with arguments  and  .
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Error Indicators and Warnings
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"NE_BAD_PARAM"
On entry, argument  had an illegal value.
"NE_INT"
On entry,  . Constraint:  .
On entry,  . Constraint:  .
On entry,  . Constraint:  .
"NE_INTERNAL_ERROR"
An internal error has occurred in this function. Check the function call and any array sizes. If the call is correct then please consult NAG for assistance.
"NE_PREV_CALL"
p or m is not the same as when r was set up in a previous call. Previous value of  ,  . Previous value of  ,  .
"NE_REAL"
On entry,  or  :  .
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Examples
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>
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mode := 2:
m := 6000:
p := 0.8:
n := 20:
igen := 1:
x := Vector(20, datatype=integer[kernelopts('wordsize')/8]):
iseed := Vector([1762543, 9324783, 42344, 742355], datatype=integer[kernelopts('wordsize')/8]):
r := Vector(641, datatype=float[8]):
NAG:-g05mjc(mode, m, p, x, igen, iseed, r, 'n' = n):
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