Packages

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

Linear Supertypes
Serializable, Product, Equals, VariateSet, Error, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. RandomSet
  2. Serializable
  3. Product
  4. Equals
  5. VariateSet
  6. Error
  7. AnyRef
  8. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. Protected

Instance Constructors

  1. 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

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##: Int
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  4. 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
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.CloneNotSupportedException]) @native() @HotSpotIntrinsicCandidate()
  7. val count: Int
  8. def discrete: Boolean

    Determine whether the distribution is discrete or continuous.

    Determine whether the distribution is discrete or continuous.

    Definition Classes
    VariateSet
  9. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  10. final def flaw(method: String, message: String): Unit
    Definition Classes
    Error
  11. 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
  12. final def getClass(): Class[_ <: AnyRef]
    Definition Classes
    AnyRef → Any
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  13. 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

  14. 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

  15. 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
  16. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  17. val max: Int
  18. def mean: Double

    Compute the mean for the particular distribution.

    Compute the mean for the particular distribution.

    Definition Classes
    RandomSet → VariateSet
  19. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  20. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  21. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @HotSpotIntrinsicCandidate()
  22. 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
  23. def productElementNames: Iterator[String]
    Definition Classes
    Product
  24. val r: Random

    Random number stream selected by the stream number

    Random number stream selected by the stream number

    Attributes
    protected
    Definition Classes
    VariateSet
  25. val skip: Int
  26. val stream: Int
  27. final def synchronized[T0](arg0: => T0): T0
    Definition Classes
    AnyRef
  28. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])
  29. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException]) @native()
  30. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.InterruptedException])

Deprecated Value Members

  1. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws(classOf[java.lang.Throwable]) @Deprecated
    Deprecated

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from VariateSet

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped