# Distribution

#### class Distribution extends AnyRef

Util for getting some stats from a small sample of numeric values, with some handy summary functions.

Entirely in memory, not intended as a good way to compute stats over large data sets.

Assumes you are giving it a non-empty set of data

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### Value Members

1. #### final def !=(arg0: AnyRef): Boolean

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2. #### final def !=(arg0: Any): Boolean

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3. #### final def ##(): Int

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4. #### final def ==(arg0: AnyRef): Boolean

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6. #### final def asInstanceOf[T0]: T0

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7. #### def clone(): AnyRef

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11. #### final def eq(arg0: AnyRef): Boolean

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13. #### def finalize(): Unit

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14. #### final def getClass(): Class[_]

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15. #### def getQuantiles(probabilities: Traversable[Double] = defaultProbabilities): IndexedSeq[Double]

Get the value of the distribution at the given probabilities.

Get the value of the distribution at the given probabilities. Probabilities should be given from 0 to 1

probabilities

16. #### def hashCode(): Int

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17. #### final def isInstanceOf[T0]: Boolean

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19. #### final def ne(arg0: AnyRef): Boolean

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20. #### final def notify(): Unit

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21. #### final def notifyAll(): Unit

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25. #### def summary(out: PrintStream = System.out): Unit

print a summary of this distribution to the given PrintStream.

print a summary of this distribution to the given PrintStream.

out

26. #### final def synchronized[T0](arg0: ⇒ T0): T0

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27. #### def toString(): String

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28. #### final def wait(): Unit

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29. #### final def wait(arg0: Long, arg1: Int): Unit

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30. #### final def wait(arg0: Long): Unit

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