TimeStatistic

Instance Constructors

new TimeStatistic(name: String = "p-stat", _lastTime: Double = 0.0, _startTime: Double = 0.0)

name
the name for this statistic (e.g., NumberInQueue or tellerQ)
_lastTime
the time of last observation
_startTime
the time observation began

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

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

Definition Classes
AnyRef → Any
def accum(x: Double, t: Double): Unit

Accumulate the next value weighted by its time duration and update accumulators.
Accumulate the next value weighted by its time duration and update accumulators.
x
the value to accumulate
t
the time of the observation
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

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

Definition Classes
AnyRef → Any
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
def flaw(method: String, message: String): Unit

Show the flaw by printing the error message.
Show the flaw by printing the error message.
method
the method where the error occurred
message
the error message

Definition Classes
Error
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def hashCode(): Int

Definition Classes
AnyRef → Any
def interval(p: Double = .95): Double

Compute the confidence interval half-width for the given confidence level.
Compute the confidence interval half-width for the given confidence level.
p
the confidence level

Definition Classes
Statistic
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def lastTime: Double

Return the last time statistics were recorded by this collector.
def max: Double

Return the maximum value in sample.
Return the maximum value in sample.

Definition Classes
Statistic
var maxX: Double

The maximum sample value
The maximum sample value

Attributes
protected
Definition Classes
Statistic
def mean: Double

Compute/estimate the time-weighted mean.
Compute/estimate the time-weighted mean.

Definition Classes
TimeStatistic → Statistic
def min: Double

Return the minimum value in sample.
Return the minimum value in sample.

Definition Classes
Statistic
var minX: Double

The minimum sample value
The minimum sample value

Attributes
protected
Definition Classes
Statistic
def ms: Double

Compute/estimate the mean square (ms).
Compute/estimate the mean square (ms).

Definition Classes
Statistic
var n: Int

The number of samples
The number of samples

Attributes
protected
Definition Classes
Statistic
val name: String

the name for this statistic (e.
the name for this statistic (e.g., NumberInQueue or tellerQ)

Definition Classes
TimeStatistic → Statistic
def nd: Double

Return the number of samples as a double.
Return the number of samples as a double.

Definition Classes
Statistic
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def num: Int

Return the number of samples.
Return the number of samples.

Definition Classes
Statistic
def rms: Double

Compute/estimate the root mean square (rms).
Compute/estimate the root mean square (rms).

Definition Classes
Statistic
def show: String

Show the values of this collector's accumulators.
Show the values of this collector's accumulators.

Definition Classes
TimeStatistic → Statistic
def startTime: Double

Return the time observation began.
def statRow: Array[Any]

Return the summary statistics as a row/Array.
Return the summary statistics as a row/Array.

Definition Classes
Statistic
def stddev: Double

Compute/estimate the sample standard deviation.
Compute/estimate the sample standard deviation.

Definition Classes
Statistic
var sum: Double

Sum of the sample values
Sum of the sample values

Attributes
protected
Definition Classes
Statistic
var sumSq: Double

Sum of the sample values squared
Sum of the sample values squared

Attributes
protected
Definition Classes
Statistic
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def tally(x: Double): Unit

Disable the tally method (it is for sample statistics, not time-persistent statistics.
Disable the tally method (it is for sample statistics, not time-persistent statistics.
x
the value to tally

Definition Classes
TimeStatistic → Statistic
def toString(): String

Generate a row of statistical results as a string.
Generate a row of statistical results as a string.

Definition Classes
Statistic → AnyRef → Any
def variance: Double

Compute/estimate the time-weighted variance.
Compute/estimate the time-weighted variance.

Definition Classes
TimeStatistic → Statistic
final def wait(): Unit

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

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

Definition Classes
AnyRef
Annotations
@throws( ... )

class TimeStatistic extends Statistic

Instance Constructors

new TimeStatistic(name: String = "p-stat", _lastTime: Double = 0.0, _startTime: Double = 0.0)

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

def accum(x: Double, t: Double): Unit

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

def flaw(method: String, message: String): Unit

final def getClass(): Class[_]

def hashCode(): Int

def interval(p: Double = .95): Double

final def isInstanceOf[T0]: Boolean

def lastTime: Double

def max: Double

var maxX: Double

def mean: Double

def min: Double

var minX: Double

def ms: Double

var n: Int

val name: String

def nd: Double

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def num: Int

def rms: Double

def show: String

def startTime: Double

def statRow: Array[Any]

def stddev: Double

var sum: Double

var sumSq: Double

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

def tally(x: Double): Unit

def toString(): String

def variance: Double

final def wait(): Unit

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

final def wait(arg0: Long): Unit

Inherited from Statistic

Inherited from Error

Inherited from AnyRef

Inherited from Any

Ungrouped