case class RandomSet(count: Int = 10, max: Int = 20, skip: Int = -1, stream: Int = 0) extends VariateSet with Product with Serializable
The RandomSet
class generates a random set/subset of integers.
- count
the size of the set (number of integer elements)
- max
generate integers in the range 0 (inclusive) to max (inclusive)
- skip
skip this number, i.e, do not use it
- stream
the random number stream
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Instance Constructors
-
new
RandomSet(count: Int = 10, max: Int = 20, skip: Int = -1, stream: Int = 0)
- count
the size of the set (number of integer elements)
- max
generate integers in the range 0 (inclusive) to max (inclusive)
- skip
skip this number, i.e, do not use it
- stream
the random number stream
Value Members
-
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 (default) or continuous
Indicates whether the distribution is discrete (default) or continuous
- Attributes
- protected
- Definition Classes
- VariateSet
-
final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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- protected[java.lang]
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- @native() @throws( ... )
- val count: Int
-
def
discrete: Boolean
Determine whether the distribution is discrete or continuous.
Determine whether the distribution is discrete or continuous.
- Definition Classes
- VariateSet
-
final
def
eq(arg0: AnyRef): Boolean
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def
finalize(): Unit
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- protected[java.lang]
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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
- Error
-
def
gen: Set[Double]
Determine the next random double set for the particular distribution.
Determine the next random double set for the particular distribution.
- Definition Classes
- RandomSet → VariateSet
-
final
def
getClass(): Class[_]
- Definition Classes
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- @native()
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def
igen(s: Set[Int], n: Int): Set[Int]
Generate a set of unique integers 'r' that is a random subset of set 's'.
Generate a set of unique integers 'r' that is a random subset of set 's'.
- s
the given set
- n
the size of the resultant random subset r
-
def
igen(n: Int, mx: Int, skp: Int = -1): Set[Int]
Generate a random set of unique integers 'r' in the range '0 to mx'.
Generate a random set of unique integers 'r' in the range '0 to mx'.
- n
the size of the resultant random subset r
- mx
generate integers in the range 0 (inclusive) to 'mx' (inclusive)
- skp
skip this number, i.e, do not use it
-
def
igen: Set[Int]
Generate a random set of unique integers 'r' in the range '0 to max'.
Generate a random set of unique integers 'r' in the range '0 to max'. The size of the set is given by 'count'.
- Definition Classes
- RandomSet → VariateSet
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val max: Int
-
def
mean: Double
Compute the mean for the particular distribution.
Compute the mean for the particular distribution.
- Definition Classes
- RandomSet → VariateSet
-
final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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- @native()
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final
def
notifyAll(): Unit
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- @native()
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def
pf(s: Set[Int]): 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.
- Definition Classes
- RandomSet → VariateSet
-
val
r: Random
Random number stream selected by the stream number
Random number stream selected by the stream number
- Attributes
- protected
- Definition Classes
- VariateSet
- val skip: Int
- val stream: Int
-
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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- @native() @throws( ... )