org.saddle.stats

LongStats

class LongStats extends VecStats[Long]

Linear Supertypes
VecStats[Long], AnyRef, Any
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  1. LongStats
  2. VecStats
  3. AnyRef
  4. Any
Visibility
  1. Public
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Instance Constructors

  1. new LongStats(r: Vec[Long])

Value Members

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

    Definition Classes
    AnyRef
  2. final def !=(arg0: Any): Boolean

    Definition Classes
    Any
  3. final def ##(): Int

    Definition Classes
    AnyRef → Any
  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any
  6. def _demeaned(r: Vec[Long], subOp: (Long, Double) ⇒ Double): Vec[Double]

    Attributes
    protected
    Definition Classes
    VecStats
  7. def _kurt(r: Vec[Long], subOp: (Long, Double) ⇒ Double): Double

    Attributes
    protected
    Definition Classes
    VecStats
  8. def _median(r: Vec[Long])(implicit n: NUM[Long]): Double

    Attributes
    protected
    Definition Classes
    VecStats
  9. def _percentile(v: Vec[Double], tile: Double, method: PctMethod)(implicit n: NUM[Long]): Double

    Attributes
    protected
    Definition Classes
    VecStats
  10. def _rank(v: Array[Double], tie: RankTie, ascending: Boolean): Vec[Double]

    Attributes
    protected
    Definition Classes
    VecStats
  11. def _skew(r: Vec[Long], subOp: (Long, Double) ⇒ Double): Double

    Attributes
    protected
    Definition Classes
    VecStats
  12. def _variance(r: Vec[Long], subOp: (Long, Double) ⇒ Double): Double

    Attributes
    protected
    Definition Classes
    VecStats
  13. def argmax: Int

    Integer offset of the minimum element of the Vec, if one exists, or else -1

    Integer offset of the minimum element of the Vec, if one exists, or else -1

    Definition Classes
    LongStatsVecStats
  14. def argmin: Int

    Integer offset of the minimum element of the Vec, if one exists, or else -1

    Integer offset of the minimum element of the Vec, if one exists, or else -1

    Definition Classes
    LongStatsVecStats
  15. final def asInstanceOf[T0]: T0

    Definition Classes
    Any
  16. def clone(): AnyRef

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  17. def count: Int

    Count of the non-NA elements of the Vec

    Count of the non-NA elements of the Vec

    Definition Classes
    LongStatsVecStats
  18. def countif(test: (Long) ⇒ Boolean): Int

    Counts the non-NA elements of the Vec subject to passing the predicate function

    Counts the non-NA elements of the Vec subject to passing the predicate function

    test

    A function from A to Boolean

    Definition Classes
    LongStatsVecStats
  19. def demeaned: Vec[Double]

    Return a copy of a numeric Vec with its values demeaned according to the mean function

    Return a copy of a numeric Vec with its values demeaned according to the mean function

    Definition Classes
    LongStatsVecStats
  20. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  21. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any
  22. def finalize(): Unit

    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws()
  23. def geomean: Double

    Return the geometric median of the values in the Vec, ignoring NA

    Return the geometric median of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  24. final def getClass(): java.lang.Class[_]

    Definition Classes
    AnyRef → Any
  25. def hashCode(): Int

    Definition Classes
    AnyRef → Any
  26. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any
  27. def kurt: Double

    Return the sample kurtosis of the values in the Vec, ignoring NA

    Return the sample kurtosis of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  28. def logsum: Double

    Return the sum of the natural log of each element, ignoring NA values

    Return the sum of the natural log of each element, ignoring NA values

    Definition Classes
    LongStatsVecStats
  29. def max: Option[Long]

    Maximum element of the Vec, if one exists, or else None

    Maximum element of the Vec, if one exists, or else None

    Definition Classes
    LongStatsVecStats
  30. def mean: Double

    Return the mean (average) of the values in the Vec, ignoring NA

    Return the mean (average) of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  31. def median: Double

    Return the median of the values in the Vec, ignoring NA

    Return the median of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  32. def min: Option[Long]

    Minimum element of the Vec, if one exists, or else None

    Minimum element of the Vec, if one exists, or else None

    Definition Classes
    LongStatsVecStats
  33. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef
  34. final def notify(): Unit

    Definition Classes
    AnyRef
  35. final def notifyAll(): Unit

    Definition Classes
    AnyRef
  36. def percentile(tile: Double, method: PctMethod = PctMethod.NIST): Double

    Return the percentile of the values at a particular threshold, ignoring NA

    Return the percentile of the values at a particular threshold, ignoring NA

    tile

    The percentile in [0, 100] at which to compute the threshold

    method

    The percentile method; one of PctMethod

    Definition Classes
    LongStatsVecStats
  37. def prod: Long

    Product of all the values in the Vec, ignoring NA values

    Product of all the values in the Vec, ignoring NA values

    Definition Classes
    LongStatsVecStats
  38. def rank(tie: RankTie = RankTie.Avg, ascending: Boolean = true): Vec[Double]

    Return a Vec of ranks corresponding to a Vec of numeric values.

    Return a Vec of ranks corresponding to a Vec of numeric values.

    tie

    Method with which to break ties; a RankTie

    ascending

    Boolean, default true, whether to give lower values larger rank

    Definition Classes
    LongStatsVecStats
  39. def skew: Double

    Return the sample skewness of the values in the Vec, ignoring NA

    Return the sample skewness of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  40. val sl: org.saddle.scalar.ScalarTagLong.type

  41. def stdev: Double

    Return the sample standard deviation of values in the Vec, ignoring NA

    Return the sample standard deviation of values in the Vec, ignoring NA

    Definition Classes
    VecStats
  42. def sum: Long

    Sum of the elements of the Vec, ignoring NA values

    Sum of the elements of the Vec, ignoring NA values

    Definition Classes
    LongStatsVecStats
  43. final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes
    AnyRef
  44. def toString(): String

    Definition Classes
    AnyRef → Any
  45. def variance: Double

    Return the sample variance of the values in the Vec, ignoring NA

    Return the sample variance of the values in the Vec, ignoring NA

    Definition Classes
    LongStatsVecStats
  46. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()
  47. final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()
  48. final def wait(arg0: Long): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws()

Inherited from VecStats[Long]

Inherited from AnyRef

Inherited from Any