Class NonSymmetricalNormalDistribution
java.lang.Object
com.compomics.util.experiment.personalization.ExperimentObject
com.compomics.util.math.statistics.distributions.NonSymmetricalNormalDistribution
- All Implemented Interfaces:
Distribution
,Serializable
public class NonSymmetricalNormalDistribution extends ExperimentObject implements Distribution
This class represents a non symmetrical normal distribution.
- Author:
- Marc Vaudel
- See Also:
- Serialized Form
-
Field Summary
-
Constructor Summary
Constructors Constructor Description NonSymmetricalNormalDistribution()
Empty default constructorNonSymmetricalNormalDistribution(double mean, double stdDown, double stdUp)
Constructor. -
Method Summary
Modifier and Type Method Description double
getCumulativeProbabilityAt(double x)
Returns the cumulative density function value at a given position.double
getDescendingCumulativeProbabilityAt(double x)
Returns the cumulative density function value at a given position when starting from the high values.double
getMaxValueForProbability(double p)
The value after which the density function will be smaller than p.double
getMean()
Returns the mean of the distribution.double
getMinValueForProbability(double p)
The value before which the density function will be smaller than p.double
getProbabilityAt(double x)
Returns the density function value at a given position.static NonSymmetricalNormalDistribution
getRobustNonSymmetricalNormalDistribution(ArrayList<Double> input)
Returns the non-symmetrical distribution of the input list of double calibrated on the median, 15.9% and 84.1% percentiles.static NonSymmetricalNormalDistribution
getRobustNonSymmetricalNormalDistributionFromSortedArray(double[] input)
Returns the non-symmetrical distribution of the input array of double calibrated on the median, 15.9% and 84.1% percentiles.static NonSymmetricalNormalDistribution
getRobustNonSymmetricalNormalDistributionFromSortedList(ArrayList<Double> input)
Returns the non-symmetrical distribution of the input list of double calibrated on the median, 15.9% and 84.1% percentiles.double
getSmallestCumulativeProbabilityAt(double x)
Returns the cumulative density function value at a given position, starting from the low values if before the median, from the high otherwise.double
getStdDown()
Returns the standard deviation to the left of the distribution.double
getStdUp()
Returns the standard deviation to the right of the distribution.double
getValueAtCumulativeProbability(double p)
The value after which the cumulative density function will be smaller than p.double
getValueAtDescendingCumulativeProbability(double p)
The value after which the cumulative density function will be smaller than p when starting from high values.Methods inherited from class com.compomics.util.experiment.personalization.ExperimentObject
addUrParam, asLong, clearParametersMap, getId, getUrParam, getUrParams, removeUrParam, setId, setUrParams
-
Constructor Details
-
NonSymmetricalNormalDistribution
public NonSymmetricalNormalDistribution()Empty default constructor -
NonSymmetricalNormalDistribution
public NonSymmetricalNormalDistribution(double mean, double stdDown, double stdUp)Constructor.- Parameters:
mean
- the meanstdDown
- the standard deviation on the left of the meanstdUp
- the standard deviation on the right of the mean
-
-
Method Details
-
getStdUp
public double getStdUp()Returns the standard deviation to the right of the distribution.- Returns:
- the standard deviation to the right of the distribution
-
getStdDown
public double getStdDown()Returns the standard deviation to the left of the distribution.- Returns:
- the standard deviation to the left of the distribution
-
getMean
public double getMean()Returns the mean of the distribution.- Returns:
- the mean of the distribution
-
getRobustNonSymmetricalNormalDistribution
public static NonSymmetricalNormalDistribution getRobustNonSymmetricalNormalDistribution(ArrayList<Double> input)Returns the non-symmetrical distribution of the input list of double calibrated on the median, 15.9% and 84.1% percentiles.- Parameters:
input
- the input list- Returns:
- the non symmetrical distribution calibrated on the median, 15.9% and 84.1% percentiles.
-
getRobustNonSymmetricalNormalDistributionFromSortedList
public static NonSymmetricalNormalDistribution getRobustNonSymmetricalNormalDistributionFromSortedList(ArrayList<Double> input)Returns the non-symmetrical distribution of the input list of double calibrated on the median, 15.9% and 84.1% percentiles.- Parameters:
input
- the input list- Returns:
- the non symmetrical distribution calibrated on the median, 15.9% and 84.1% percentiles.
-
getRobustNonSymmetricalNormalDistributionFromSortedArray
public static NonSymmetricalNormalDistribution getRobustNonSymmetricalNormalDistributionFromSortedArray(double[] input)Returns the non-symmetrical distribution of the input array of double calibrated on the median, 15.9% and 84.1% percentiles.- Parameters:
input
- the input array- Returns:
- the non symmetrical distribution calibrated on the median, 15.9% and 84.1% percentiles.
-
getProbabilityAt
public double getProbabilityAt(double x)Description copied from interface:Distribution
Returns the density function value at a given position.- Specified by:
getProbabilityAt
in interfaceDistribution
- Parameters:
x
- the position of interest- Returns:
- the value of the density function at the give position
-
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 interfaceDistribution
- Parameters:
x
- the position of interest- Returns:
- the value of the density function at the give position
-
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 interfaceDistribution
- 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 interfaceDistribution
- 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 interfaceDistribution
- 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 interfaceDistribution
- Parameters:
p
- the probability of interest- Returns:
- the value before which the density function will be smaller than p
-
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 interfaceDistribution
- Parameters:
p
- the probability of interest- Returns:
- the value after which the cumulative density function will be smaller than p
-
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 interfaceDistribution
- Parameters:
p
- the probability of interest- Returns:
- the value after which the cumulative density function will be smaller than p
-