Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  def apply[K](v: Iterable[K], numToSample: Int = 10, onlySampleSorted: Boolean = false)(implicit arg0: Numeric[K], arg1: Ordering[K]): Stats[K, Int]

   Construct a NonEmpty instance from input data v.

   Construct a NonEmpty instance from input data v.

   v

   values.

   numToSample

   highlight this many "runs" of data from the start and end of the data; likewise the least and greatest elements (and repetition counts).

   onlySampleSorted

   only highlight the least and greatest elements; omit the first and last

5.  final def asInstanceOf[T0]: T0

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6.  def clone(): AnyRef

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   protected[java.lang]

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   @native() @throws( ... )

7.  final def eq(arg0: AnyRef): Boolean

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8.  def equals(arg0: Any): Boolean

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9.  def finalize(): Unit

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10.  def fromHist[K, V](v: Iterable[(K, V)], numToSample: Int = 10, onlySampleSorted: Boolean = false)(implicit arg0: Numeric[K], arg1: Ordering[K], arg2: Integral[V]): Stats[K, V]

    Construct a NonEmpty from a sequence of "runs"; elements paired with a count of repetitions.

    Construct a NonEmpty from a sequence of "runs"; elements paired with a count of repetitions.

    v

    values.

    numToSample

    highlight this many "runs" of data from the start and end of the data; likewise the least and greatest elements (and repetition counts).

    onlySampleSorted

    only highlight the least and greatest elements; omit the first and last

11.  final def getClass(): Class[_]

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    @native()

12.  def hashCode(): Int

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13.  final def isInstanceOf[T0]: Boolean

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14.  implicit def makeShow[K, V](implicit arg0: Numeric[K], arg1: hammerlab.show.Show[K], arg2: Integral[V], arg3: hammerlab.show.Show[V], percentileShow: hammerlab.show.Show[Rational] = showPercentile, statShow: hammerlab.show.Show[Double], delimiter: Delimiter = space, indent: Indent = hammerlab.indent.tab): ToLines[Stats[K, V]]

    Default Show implementation, utilizing Shows for key- and value-types as well as Rational percentiles and a Double percentile values and summary statistics.

    Default Show implementation, utilizing Shows for key- and value-types as well as Rational percentiles and a Double percentile values and summary statistics.

    Example with shuffled positive digits (from tests):

    N: 9, μ/σ: 5/2.6, med/mad: 5/2
     elems: 8 4 5 … 7 2 9
    sorted: 1 2 3 … 7 8 9
      10:	1
      25:	2.5
      50:	5
      75:	7.5

15.  final def ne(arg0: AnyRef): Boolean

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16.  final def notify(): Unit

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17.  final def notifyAll(): Unit

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    @native()

18.  def showDouble: hammerlab.show.Show[Double]

    Default Show for summary statistics and percentile values

19.  def showPercentile(implicit showDouble: hammerlab.show.Show[Double] = cats.implicits.catsStdShowForDouble, showLong: hammerlab.show.Show[Long] = showLong): hammerlab.show.Show[Rational]

    Default Show for percentile-keys (generally integers except for on the edges in large datasets, where percentiles of rthe forms 1e-N and 1-1e-N are included).

20.  final def synchronized[T0](arg0: ⇒ T0): T0

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21.  def toString(): String

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22.  final def wait(): Unit

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23.  final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

24.  final def wait(arg0: Long): Unit

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