case class RandomVecD(dim: Int = 10, max: Double = 20.0, min: Double = 0.0, density: Double = 1.0, runLength: Int = 10, stream: Int = 0) extends VariateVec with Product with Serializable
The RandomVecD class generates a random vector of doubles.
Ex: (3.0, 2.0, 0.0, 4.0, 1.0) has 'dim' = 5 and 'max' = 4.
- dim
the dimension/size of the vector (number of elements)
- max
generate integers in the range min (inclusive) to max (inclusive)
- min
generate integers in the range min (inclusive) to max (inclusive)
- density
sparsity basis = 1 - density
- runLength
the maximum run length
- stream
the random number stream
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Instance Constructors
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new
RandomVecD(dim: Int = 10, max: Double = 20.0, min: Double = 0.0, density: Double = 1.0, runLength: Int = 10, stream: Int = 0)
- dim
the dimension/size of the vector (number of elements)
- max
generate integers in the range min (inclusive) to max (inclusive)
- min
generate integers in the range min (inclusive) to max (inclusive)
- density
sparsity basis = 1 - density
- runLength
the maximum run length
- stream
the random number stream
Value Members
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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var
_discrete: Boolean
Indicates whether the distribution is discrete or continuous (default)
Indicates whether the distribution is discrete or continuous (default)
- Attributes
- protected
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- VariateVec
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- val density: Double
- val dim: Int
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def
discrete: Boolean
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
- Definition Classes
- VariateVec
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final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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final
def
flaw(method: String, message: String): Unit
Show the flaw by printing the error message.
Show the flaw by printing the error message.
- method
the method where the error occurred
- message
the error message
- Definition Classes
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def
gen: VectorD
Determine the next random double vector for the particular distribution.
Determine the next random double vector for the particular distribution.
- Definition Classes
- RandomVecD → VariateVec
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final
def
getClass(): Class[_]
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def
igen: VectorI
Determine the next random integer vector for the particular distribution.
Determine the next random integer vector for the particular distribution. It is only valid for discrete random variates.
- Definition Classes
- RandomVecD → VariateVec
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final
def
isInstanceOf[T0]: Boolean
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- val max: Double
-
def
mean: VectorD
Compute the vector mean for the particular distribution.
Compute the vector mean for the particular distribution.
- Definition Classes
- RandomVecD → VariateVec
- val min: Double
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
pf(z: VectorD): Double
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
Compute the probability function (pf): The probability density function (pdf) for continuous RVV's or the probability mass function (pmf) for discrete RVV's.
- z
the mass point/vector whose probability is sought
- Definition Classes
- RandomVecD → VariateVec
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val
r: Random
Random number stream selected by the stream number
Random number stream selected by the stream number
- Attributes
- protected
- Definition Classes
- VariateVec
- def repgen: VectorD
- val runLength: Int
- val stream: Int
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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final
def
wait(): Unit
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final
def
wait(arg0: Long, arg1: Int): Unit
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final
def
wait(arg0: Long): Unit
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