Class BasicDescriptiveStatistics

Method Details

• addValue

  public void addValue(double d)

  Specified by:

  addValue in interface DescriptiveStatistics

• arithmeticMean

  public double arithmeticMean()

  Specified by:

  arithmeticMean in interface DescriptiveStatistics

• asSummary

  public String asSummary()

  Specified by:

  asSummary in interface DescriptiveStatistics

• coefficientOfVariation

  public double coefficientOfVariation()

  Description copied from interface: DescriptiveStatistics

  Computes the coefficient of variation. Used to express standard deviation independent of units of measure.

  Specified by:

  coefficientOfVariation in interface DescriptiveStatistics

  Returns:

• getData

  public List<Double> getData()

  Specified by:

  getData in interface DescriptiveStatistics

• getDataAsDoubleArray

  public double[] getDataAsDoubleArray()

  Specified by:

  getDataAsDoubleArray in interface DescriptiveStatistics

• getDescription

  public String getDescription()

  Specified by:

  getDescription in interface DescriptiveStatistics

• getMax

  public double getMax()

  Specified by:

  getMax in interface DescriptiveStatistics

• getMin

  public double getMin()

  Specified by:

  getMin in interface DescriptiveStatistics

• getN

  public int getN()

  Specified by:

  getN in interface DescriptiveStatistics

• getSum

  public double getSum()

  Specified by:

  getSum in interface DescriptiveStatistics

• getSummaryAsString

  public String getSummaryAsString()

  Specified by:

  getSummaryAsString in interface DescriptiveStatistics

• getValue

  public double getValue(int index)

  Specified by:

  getValue in interface DescriptiveStatistics

• median

  public double median()

  Specified by:

  median in interface DescriptiveStatistics

• midrange

  public double midrange()

  Specified by:

  midrange in interface DescriptiveStatistics

• pearsonianSkewness

  public double pearsonianSkewness()

  Description copied from interface: DescriptiveStatistics

  Determines relationship between the mean and the median. This reflects how the data differs from the normal bell shaped distribution.

  Specified by:

  pearsonianSkewness in interface DescriptiveStatistics

  Returns:

• sampleStandardDeviation

  public double sampleStandardDeviation()

  Specified by:

  sampleStandardDeviation in interface DescriptiveStatistics

• sampleStandardUnit

  public double sampleStandardUnit(double value)

  Specified by:

  sampleStandardUnit in interface DescriptiveStatistics

• sampleVariance

  public double sampleVariance()

  Specified by:

  sampleVariance in interface DescriptiveStatistics

• setDescription

  public void setDescription(String desc)

  Specified by:

  setDescription in interface DescriptiveStatistics

• standardErrorOfMean

  public double standardErrorOfMean()

  Specified by:

  standardErrorOfMean in interface DescriptiveStatistics

• sumDeviations

  public double sumDeviations()

  Specified by:

  sumDeviations in interface DescriptiveStatistics

• toString

  public String toString()

  Specified by:

  toString in interface DescriptiveStatistics

  Overrides:

  toString in class Object

• performBinning

  public static int[] performBinning(double[] values, double min, double max, int number_of_bins)

• sampleStandardUnit

  public static double sampleStandardUnit(double value, double mean, double sd)

  Computes the sample standard unit (z-score). Used to compute 'value' in terms of standard units. Note that 'value', 'mean' and 'sd' must be all from the same sample data.

  Parameters:

  value - a double in the sample for which

  mean - the mean of the sample.

  sd - The standard deviation of the sample.

  Returns:

  'value' in terms of standard units