Class XBarRChart

    • Field Detail

      • m_Variation

        protected boolean m_Variation
        whether to generate mean or variation data.
    • Constructor Detail

      • XBarRChart

        public XBarRChart()
    • Method Detail

      • setVariation

        public void setVariation​(boolean value)
        Sets whether to produce mean or variation data.
        Parameters:
        value - true if to generate variation data
      • getVariation

        public boolean getVariation()
        Returns whether to produce mean or variation data.
        Returns:
        true if to generate variation data
      • variationTipText

        public String variationTipText()
        Returns the tip text for this property.
        Returns:
        tip text for this property suitable for displaying in the GUI or for listing the options.
      • getTechnicalInformation

        public TechnicalInformation getTechnicalInformation()
        Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
        Specified by:
        getTechnicalInformation in interface TechnicalInformationHandler
        Returns:
        the technical information about this class
      • getActualSampleSize

        protected int getActualSampleSize​(Number[][] data)
        Returns the actual sample size to use.
        Parameters:
        data - the data to base the calculation on
        Returns:
        the actual sample size
      • calculate

        public List<Limits> calculate​(Number[][] data)
        Calculates the center/lower/upper limit.
        Specified by:
        calculate in interface MatrixControlChart
        Parameters:
        data - the data to use for the calculation
        Returns:
        the limits
      • prepare

        public double[] prepare​(Number[][] data)
        Prepares the data.
        Specified by:
        prepare in interface MatrixControlChart
        Parameters:
        data - the data to prepare
        Returns:
        the processed data