Package com.compomics.util.math.statistics.distributions

Class NormalDistribution

java.lang.Object
com.compomics.util.experiment.personalization.ExperimentObject
com.compomics.util.math.statistics.distributions.NormalDistribution
All Implemented Interfaces:
Distribution, Serializable
public class NormalDistribution extends ExperimentObject implements Distribution
This class represents a normal distribution. A dirac distribution if the standard deviation is null.
Author:
Marc Vaudel
See Also:

  • Constructor Details

    • NormalDistribution

      public NormalDistribution()
      Empty default constructor

    • NormalDistribution

      public NormalDistribution(double mean, double std)
      Constructor.
      Parameters:
      mean - the mean
      std - the standard deviation

  • Method Details

    • getNormalDistribution

      public static NormalDistribution getNormalDistribution(ArrayList<Double> input)
      Returns the normal distribution corresponding to a given list of double calibrated on mean and standard deviation.
      Parameters:
      input - the input as a list of double
      Returns:
      the normal distribution calibrated on the mean and standard deviation

    • getRobustNormalDistribution

      public static NormalDistribution getRobustNormalDistribution(ArrayList<Double> input)
      Returns the normal distribution corresponding to a given list of double calibrated on median and 34.1% percentile to median distance
      Parameters:
      input - the input as list of double
      Returns:
      a normal distribution calibrated on median and 34.1% percentile to median distance

    • getProbabilityAt

      public double getProbabilityAt(double x)
      Description copied from interface: Distribution
      Returns the density function value at a given position.
      Specified by:
      getProbabilityAt in interface Distribution
      Parameters:
      x - the position of interest
      Returns:
      the value of the density function at the give position

    • getMaxValueForProbability

      public double getMaxValueForProbability(double p)
      Description copied from interface: Distribution
      The value after which the density function will be smaller than p.
      Specified by:
      getMaxValueForProbability in interface Distribution
      Parameters:
      p - the probability of interest
      Returns:
      the value after which the density function will be smaller than p

    • getMinValueForProbability

      public double getMinValueForProbability(double p)
      Description copied from interface: Distribution
      The value before which the density function will be smaller than p.
      Specified by:
      getMinValueForProbability in interface Distribution
      Parameters:
      p - the probability of interest
      Returns:
      the value before which the density function will be smaller than p

    • getCumulativeProbabilityAt

      public double getCumulativeProbabilityAt(double x)
      Description copied from interface: Distribution
      Returns the cumulative density function value at a given position.
      Specified by:
      getCumulativeProbabilityAt in interface Distribution
      Parameters:
      x - the position of interest
      Returns:
      the value of the density function at the give position

    • getValueAtCumulativeProbability

      public double getValueAtCumulativeProbability(double p)
      Description copied from interface: Distribution
      The value after which the cumulative density function will be smaller than p.
      Specified by:
      getValueAtCumulativeProbability in interface Distribution
      Parameters:
      p - the probability of interest
      Returns:
      the value after which the cumulative density function will be smaller than p

    • getDescendingCumulativeProbabilityAt

      public double getDescendingCumulativeProbabilityAt(double x)
      Description copied from interface: Distribution
      Returns the cumulative density function value at a given position when starting from the high values.
      Specified by:
      getDescendingCumulativeProbabilityAt in interface Distribution
      Parameters:
      x - the position of interest
      Returns:
      the value of the density function at the give position

    • getSmallestCumulativeProbabilityAt

      public double getSmallestCumulativeProbabilityAt(double x)
      Description copied from interface: Distribution
      Returns the cumulative density function value at a given position, starting from the low values if before the median, from the high otherwise.
      Specified by:
      getSmallestCumulativeProbabilityAt in interface Distribution
      Parameters:
      x - the position of interest
      Returns:
      the value of the density function at the give position

    • getValueAtDescendingCumulativeProbability

      public double getValueAtDescendingCumulativeProbability(double p)
      Description copied from interface: Distribution
      The value after which the cumulative density function will be smaller than p when starting from high values.
      Specified by:
      getValueAtDescendingCumulativeProbability in interface Distribution
      Parameters:
      p - the probability of interest
      Returns:
      the value after which the cumulative density function will be smaller than p