Package org.opentrafficsim.kpi.sampling.indicator

Class Persistent<U extends Unit<U>,​T extends AbstractDoubleScalarRel<U,​T>,​W extends java.lang.Number>

  • Type Parameters:
    U - unit of the value
    T - class of the value
    W - 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) 2013-2020 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

    • Constructor Detail

      • Persistent

        public Persistent​(U displayUnit)
        Constructor.
        Parameters:
        displayUnit - U; unit used for displaying the persistent values, minimum, maximum, mean, etc.

    • Method Detail

      • copy

        public Persistent<U,​T,​W> copy()
        Creates a copy.
        Returns:
        a copy

      • addValue

        public void addValue​(T value,
                     W weight)
        Adds a value with given weight to the persistent.
        Parameters:
        value - T; the value
        weight - W; the weight

      • getConfidenceInterval

        public ConfidenceInterval<T> getConfidenceInterval​(double alpha)
        Parameters:
        alpha - double; confidence level
        Returns:
        both-side confidence interval

      • getConfidenceInterval

        public ConfidenceInterval<T> getConfidenceInterval​(double alpha,
                                                   IntervalSide side)
        Parameters:
        alpha - double; confidence level
        side - IntervalSide; side of confidence interval
        Returns:
        confidence interval

      • getMin

        public T getMin()
        Returns:
        min value

      • getMax

        public T getMax()
        Returns:
        max value

      • getN

        public long getN()
        Returns:
        number of measurments

      • getMean

        public T getMean()
        Returns:
        mean value

      • getVariance

        public double getVariance()
        Returns:
        variance in si

      • getStDev

        public T getStDev()
        Returns:
        standard deviation

      • getSum

        public T getSum()
        Returns:
        sum

      • toString

        public java.lang.String toString()
        Overrides:
        toString in class java.lang.Object