DoubleStats

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. def _demeaned(r: Vec[Double], subOp: (Double, Double) ⇒ Double): Vec[Double]

   

   Attributes

   protected

   Definition Classes

   VecStats

5. def _kurt(r: Vec[Double], subOp: (Double, Double) ⇒ Double): Double

   

   Attributes

   protected

   Definition Classes

   VecStats

6. def _median(r: Vec[Double])(implicit n: NUM[Double]): Double

   

   Attributes

   protected

   Definition Classes

   VecStats

7. def _percentile(v: Vec[Double], tile: Double, method: PctMethod)(implicit n: NUM[Double]): Double

   

   Attributes

   protected

   Definition Classes

   VecStats

8. def _rank(v: Array[Double], tie: RankTie, ascending: Boolean): Vec[Double]

   

   Attributes

   protected

   Definition Classes

   VecStats

9. def _skew(r: Vec[Double], subOp: (Double, Double) ⇒ Double): Double

   

   Attributes

   protected

   Definition Classes

   VecStats

10. def _variance(r: Vec[Double], subOp: (Double, Double) ⇒ Double): Double

    

    Attributes

    protected

    Definition Classes

    VecStats

11. 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

    DoubleStats → VecStats

12. 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

    DoubleStats → VecStats

13. final def asInstanceOf[T0]: T0

    

    Definition Classes

    Any

14. def clone(): AnyRef

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

15. def count: Int

    

    Count of the non-NA elements of the Vec

    Count of the non-NA elements of the Vec

    Definition Classes

    DoubleStats → VecStats

16. def countif(test: (Double) ⇒ 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

    DoubleStats → VecStats

17. 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

    DoubleStats → VecStats

18. final def eq(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

19. def equals(arg0: Any): Boolean

    

    Definition Classes

    AnyRef → Any

20. def finalize(): Unit

    

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

21. 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

    DoubleStats → VecStats

22. final def getClass(): Class[_]

    

    Definition Classes

    AnyRef → Any

23. def hashCode(): Int

    

    Definition Classes

    AnyRef → Any

24. final def isInstanceOf[T0]: Boolean

    

    Definition Classes

    Any

25. 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

    DoubleStats → VecStats

26. 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

    DoubleStats → VecStats

27. def max: Option[Double]

    

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

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

    Definition Classes

    DoubleStats → VecStats

28. 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

    DoubleStats → VecStats

29. 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

    DoubleStats → VecStats

30. def min: Option[Double]

    

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

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

    Definition Classes

    DoubleStats → VecStats

31. final def ne(arg0: AnyRef): Boolean

    

    Definition Classes

    AnyRef

32. final def notify(): Unit

    

    Definition Classes

    AnyRef

33. final def notifyAll(): Unit

    

    Definition Classes

    AnyRef

34. 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 org.saddle.stats.PctMethod

    Definition Classes

    DoubleStats → VecStats

35. def prod: Double

    

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

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

    Definition Classes

    DoubleStats → VecStats

36. 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 org.saddle.stats.RankTie

    ascending

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

    Definition Classes

    DoubleStats → VecStats

37. val sd: ScalarTagDouble.type

    

38. 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

    DoubleStats → VecStats

39. 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

40. def sum: Double

    

    Sum of the elements of the Vec, ignoring NA values

    Sum of the elements of the Vec, ignoring NA values

    Definition Classes

    DoubleStats → VecStats

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

    

    Definition Classes

    AnyRef

42. def toString(): String

    

    Definition Classes

    AnyRef → Any

43. 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

    DoubleStats → VecStats

44. final def wait(): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

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

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

46. final def wait(arg0: Long): Unit

    

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )