Class Persistent<U extends Unit<U>,T extends AbstractDoubleScalarRel<U,T>,W extends java.lang.Number>
java.lang.Object
org.opentrafficsim.kpi.sampling.indicator.Persistent<U,T,W>
- Type Parameters:
U
- unit of the valueT
- class of the valueW
- weight class
public class Persistent<U extends Unit<U>,T extends AbstractDoubleScalarRel<U,T>,W extends java.lang.Number>
extends java.lang.Object
Copyright (c) 2013-2019 Delft University of Technology, PO Box 5, 2600 AA, Delft, the Netherlands. All rights reserved.
BSD-style license. See OpenTrafficSim License.
- Version:
- $Revision$, $LastChangedDate$, by $Author$, initial version 17 okt. 2016
- Author:
- Alexander Verbraeck, Peter Knoppers, Wouter Schakel
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Constructor Summary
Constructors Constructor Description Persistent(U displayUnit)
Constructor. -
Method Summary
Modifier and Type Method Description void
addValue(T value, W weight)
Adds a value with given weight to the persistent.Persistent<U,T,W>
copy()
Creates a copy.ConfidenceInterval<T>
getConfidenceInterval(double alpha)
ConfidenceInterval<T>
getConfidenceInterval(double alpha, IntervalSide side)
T
getMax()
T
getMean()
T
getMin()
long
getN()
T
getStDev()
T
getSum()
double
getVariance()
java.lang.String
toString()
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Constructor Details
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Persistent
Constructor.- Parameters:
displayUnit
- U; unit used for displaying the persistent values, minimum, maximum, mean, etc.
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Method Details
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copy
Creates a copy.- Returns:
- a copy
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addValue
Adds a value with given weight to the persistent.- Parameters:
value
- T; the valueweight
- W; the weight
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getConfidenceInterval
- Parameters:
alpha
- double; confidence level- Returns:
- both-side confidence interval
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getConfidenceInterval
- Parameters:
alpha
- double; confidence levelside
- IntervalSide; side of confidence interval- Returns:
- confidence interval
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getMin
- Returns:
- min value
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getMax
- Returns:
- max value
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getN
public long getN()- Returns:
- number of measurments
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getMean
- Returns:
- mean value
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getVariance
public double getVariance()- Returns:
- variance in si
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getStDev
- Returns:
- standard deviation
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getSum
- Returns:
- sum
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toString
public java.lang.String toString()- Overrides:
toString
in classjava.lang.Object
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