defaultboxandwhiskerxydataset.java

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        return result;
    }

    /**
     * Returns the Q1 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return the Q1 median-value for the specified series and item.
     */
    public Number getQ1Value(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getQ1();
        }
        return result;
    }

    /**
     * Returns the Q3 median-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return the Q3 median-value for the specified series and item.
     */
    public Number getQ3Value(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getQ3();
        }
        return result;
    }

    /**
     * Returns the min-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return the min-value for the specified series and item.
     */
    public Number getMinRegularValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMinRegularValue();
        }
        return result;
    }

    /**
     * Returns the max-value for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return the max-value for the specified series and item.
     */
    public Number getMaxRegularValue(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMaxRegularValue();
        }
        return result;
    }

    /**
     * Returns the minimum value which is not a farout.
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return a <code>Number</code> representing the maximum non-farout value.
     */
    public Number getMinOutlier(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMinOutlier();
        }
        return result;
    }
 
    /**
     * Returns the maximum value which is not a farout, ie Q3 + (interquartile range * farout 
     * coefficient).
     * 
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return a <code>Number</code> representing the maximum non-farout value.
     */
    public Number getMaxOutlier(int series, int item) {
        Number result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getMaxOutlier();
        }
        return result;
    }

    /**
     * Returns an array of outliers for the specified series and item.
     *
     * @param series  the series (zero-based index).
     * @param item  the item (zero-based index).
     *
     * @return the array of outliers for the specified series and item.
     */
    public List getOutliers(int series, int item) {
        List result = null;
        BoxAndWhiskerItem stats = (BoxAndWhiskerItem) this.items.get(item);
        if (stats != null) {
            result = stats.getOutliers();
        }
        return result;
    }

    /**
     * Returns the value used as the outlier coefficient. The outlier coefficient
     * gives an indication of the degree of certainty in an unskewed distribution.
     * Increasing the coefficient increases the number of values included.
     * Currently only used to ensure farout coefficient is greater than the outlier coefficient
     *
     * @return a <code>double</code> representing the value used to calculate outliers
     */
    public double getOutlierCoefficient() {
        return this.outlierCoefficient;
    }

    /**
     * Returns the value used as the farout coefficient. The farout coefficient
     * allows the calculation of which values will be off the graph.
     *
     * @return a <code>double</code> representing the value used to calculate farouts
     */
    public double getFaroutCoefficient() {
        return this.faroutCoefficient;
    }

    /**
     * Returns the number of series in the dataset.
     * <p>
     * This implementation only allows one series.
     *
     * @return the number of series.
     */
    public int getSeriesCount() {
        return 1;
    }

    /**
     * Returns the number of items in the specified series.
     *
     * @param series  the index (zero-based) of the series.
     *
     * @return  the number of items in the specified series.
     */
    public int getItemCount(int series) {
        return this.dates.size();
    }

    /**
     * Sets the value used as the outlier coefficient
     *
     * @param outlierCoefficient being a <code>double</code> representing the value used to 
     *        calculate outliers
     */
    public void setOutlierCoefficient(double outlierCoefficient) {
        this.outlierCoefficient = outlierCoefficient;
    }

    /**
     * Sets the value used as the farouts coefficient. The farout coefficient must b greater than 
     * the outlier coefficient.
     * 
     * @param faroutCoefficient being a <code>double</code> representing the value used to 
     *        calculate farouts
     * 
     */
    public void setFaroutCoefficient(double faroutCoefficient) {

        if (faroutCoefficient > this.getOutlierCoefficient()) {
            this.faroutCoefficient = faroutCoefficient;
        } else {
            throw new IllegalArgumentException("Farout value must be greater " 
                + "than the outlier value, which is currently set at: (" 
                + getOutlierCoefficient() + ")");
        }
    }


    /**
     * Returns the minimum value in the dataset's range (or null if all the
     * values in the range are null).
     *
     * @return the minimum value.
     */
    public Number getMinimumRangeValue() {
        return this.minimumRangeValue;
    }

    /**
     * Returns the maximum value in the dataset's range (or null if all the
     * values in the range are null).
     *
     * @return the maximum value.
     */
    public Number getMaximumRangeValue() {
        return this.maximumRangeValue;
    }

    /**
     * Returns the range of the values in this dataset's range.
     *
     * @return the range.
     */
    public Range getValueRange() {
        return this.valueRange;
    }

}