Documentation of 'umontreal.iro.lecuyer.stat.list.ListOfTallies' Java class
ListOfTallies
Skip navigation links
umontreal.iro.lecuyer.stat.list

Class ListOfTallies<E extends Tally>

  • All Implemented Interfaces:
    java.lang.Cloneable, java.lang.Iterable<E>, java.util.Collection<E>, java.util.List<E>, java.util.RandomAccess
    Direct Known Subclasses:
    ListOfTalliesWithCovariance

    public class ListOfTallies<E extends Tally>
extends ListOfStatProbes<E>
    Represents a list of tally statistical collectors. Each element of the list is an instance of Tally, and a vector of observations can be added with the add method. This class defines factory methods to fill a newly-constructed list with Tally or TallyStore instances.

    • Constructor Detail

      • ListOfTallies

        public ListOfTallies()
        Constructs a new empty list of tallies.

      • ListOfTallies

        public ListOfTallies(java.lang.String name)
        Constructs a new empty list of tallies with name name.
        Parameters:
        name - the name of the new list.

    • Method Detail

      • createWithTally

        public static ListOfTallies<Tally> createWithTally(int size)
        This factory method constructs and returns a list of tallies with size instances of Tally.
        Parameters:
        size - the size of the list.
        Returns:
        the created list.

      • createWithTallyStore

        public static ListOfTallies<TallyStore> createWithTallyStore(int size)
        This factory method constructs and returns a list of tallies with size instances of TallyStore.
        Parameters:
        size - the size of the list.
        Returns:
        the created list.

      • add

        public void add(double[] x)
        Adds the observation x[i] in tally i of this list, for i = 0, ..., size() - 1. No observation is added if the value is Double.NaN, or if collecting is turned OFF. If broadcasting is ON, the given array is notified to all registered observers. The given array x not being stored by this object, it can be freely used and modified after the call to this method.
        Parameters:
        x - the array of observations.
        Throws:
        java.lang.NullPointerException - if x is null.
        java.lang.IllegalArgumentException - if the length of x does not correspond to size().

      • numberObs

        public int numberObs()
        Assuming that each tally in this list contains the same number of observations, returns the number of observations in tally 0, or 0 if this list is empty.
        Returns:
        the number of observations.

      • areAllNumberObsEqual

        public boolean areAllNumberObsEqual()
        Tests that every tally in this list contains the same number of observations. This returns true if and only if all tallies have the same number of observations, or if this list is empty. If observations are always added using the add method from this class, and not add from Tally, this method always returns true.
        Returns:
        the success indicator of the test.

      • average

        public void average(double[] r)
        Computes the average for each tally in this list, and stores the averages in the array r. If the tally i has no observation, the Double.NaN value is stored in the array, at index i.
        Overrides:
        average in class ListOfStatProbes<E extends Tally>
        Parameters:
        r - the array to be filled with averages.

      • variance

        public void variance(double[] v)
        For each tally in this list, computes the sample variance, and stores the variances into the array v. If, for some tally i, there are not enough observations for estimating the variance, Double.NaN is stored in the array.
        Parameters:
        v - the array to be filled with sample variances.
        Throws:
        java.lang.NullPointerException - if v is null.
        java.lang.IllegalArgumentException - if v.length does not correspond to size.

      • standardDeviation

        public void standardDeviation(double[] std)
        For each tally in this list, computes the sample standard deviation, and stores the standard deviations into the array std. This is equivalent to calling variance and performing a square root on every element of the filled array.
        Parameters:
        std - the array to be filled with standard deviations.
        Throws:
        java.lang.NullPointerException - if std is null.
        java.lang.IllegalArgumentException - if std.length does not correspond to size().

      • covariance

        public double covariance(int i,
                         int j)
        Returns the empirical covariance of the observations in tallies with indices i and j. If x1,…, xn represent the observations in tally i whereas y1,…, yn represent the observations in tally j, then the covariance is given by

        SX, Y = $\displaystyle {\frac{{1}}{{n-1}}}$∑k=1n(xk - bar(X)n)(yk - bar(Y)n) = [tex2html_wrap_indisplay275](∑k=1nxkyk - $\displaystyle {\frac{{1}}{{n}}}$∑k=1nxk∑r=1nyr).

        This returns Double.NaN if the tallies do not contain the same number of observations, or if they contain less than two observations. This method throws an exception if the underlying tallies are not capable of storing observations, i.e. if the tallies are not TallyStores. The ListOfTalliesWithCovariance subclass provides an alternative implementation of this method which does not require the observations to be stored.
        Parameters:
        i - the index of the first tally.
        j - the index of the second tally.
        Returns:
        the value of the covariance.
        Throws:
        java.lang.ArrayIndexOutOfBoundsException - if one or both indices are out of bounds.

      • correlation

        public double correlation(int i,
                          int j)
        Returns the empirical correlation between the observations in tallies with indices i and j. If the tally i contains a sample of the random variate X and the tally j contains a sample of Y, this corresponds to

        Cor(X, Y) = Cov(X, Y)/((X)(Y))1/2.

        This method uses covariance to obtain an estimate of the covariance, and variance in class Tally to obtain the sample variances.

        Parameters:
        i - the index of the first tally.
        j - the index of the second tally.
        Returns:
        the value of the correlation.
        Throws:
        java.lang.ArrayIndexOutOfBoundsException - if one or both indices are out of bounds.

      • covariance

        public void covariance(DoubleMatrix2D c)
        Constructs and returns the sample covariance matrix for the tallies in this list. The given d×d matrix c, where d = size(), is filled with the computed sample covariances. Element c.get (i, j) corresponds to the result of covariance (i, j).
        Parameters:
        c - the matrix to be filled with the sample covariances.
        Throws:
        java.lang.NullPointerException - if c is null.
        java.lang.IllegalArgumentException - if the number of rows or columns in c does not correspond to size().

      • correlation

        public void correlation(DoubleMatrix2D c)
        Similar to covariance for computing the sample correlation matrix.
        Parameters:
        c - the matrix to be filled with the correlations.
        Throws:
        java.lang.NullPointerException - if c is null.
        java.lang.IllegalArgumentException - if the number of rows or columns in c does not correspond to size.

      • clone

        public ListOfTallies<E> clone()
        Clones this object. This makes a shallow copy of this list, i.e., this does not clone all the tallies in the list. The created clone is modifiable, even if the original list is unmodifiable.
        Overrides:
        clone in class ListOfStatProbes<E extends Tally>
Skip navigation links

DMelt 3.0 © DataMelt by jWork.ORG

You see the box below because you did not login.