StatVarianceCounter

abstract def copy(): StatVarianceCounter

Clone this StatVarianceCounter

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final var count: Long

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final var mean: Double

final def merge(other: StatVarianceCounter): Unit

Merge another StatVarianceCounter into this one, adding up the internal statistics.

final def merge(values: TraversableOnce[Double]): Unit

Add multiple values into this StatVarianceCounter, updating the internal statistics.

final def merge(value: Double): Unit

Add a value into this StatVarianceCounter, updating the internal statistics.

def mergeDistinctCounter(other: StatVarianceCounter): Unit

Merge another StatVarianceCounter into this one, adding up the internal statistics when other != this.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def sampleStdev: Double

Return the sample standard deviation of the values, which corrects for bias in estimating the variance by dividing by N-1 instead of N.

final def sampleVariance: Double

Return the sample variance, which corrects for bias in estimating the variance by dividing by N-1 instead of N.

final def stdev: Double

Return the standard deviation of the values.

final def sum: Double

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

def toString(): String

final def variance: Double

Return the variance of the values.

final def wait(): Unit

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

final def wait(arg0: Long): Unit