Package ubic.gemma.core.analysis.stats

Class DataVectorDescriptive

java.lang.Object

ubic.gemma.core.analysis.stats.DataVectorDescriptive

public class DataVectorDescriptive
extends Object

Compute descriptive statistics for DataVector.

Author:

poirigui

See Also:

SingleCellDescriptive, DescriptiveWithMissing

Constructor Summary

Constructors

Constructor	Description
DataVectorDescriptive()

Method Summary

Modifier and Type	Method	Description
static int	count(DataVector vector)	Count the number of values in a vector.
static int	countMissing(DataVector vector)	Count the number of missing values.
static double	getMissingCountValue(QuantitationType quantitationType)	Obtain the value that indicates a missing value for counting data.
static float	getMissingFloatCountValue(QuantitationType quantitationType)	Obtain the value that indicates a missing value for counting data.
static double	mean(double[] data, ScaleType scaleType)
static double	mean(float[] data, ScaleType scaleType)
static double	mean(int[] data, ScaleType scaleType)
static double	mean(long[] data, ScaleType scaleType)
static double	mean(DataVector vector)	Calculate the mean of the data in the vector.
static double	sampleStandardDeviation(double[] data, ScaleType scaleType)
static double	sampleStandardDeviation(float[] data, ScaleType scaleType)
static double	sampleStandardDeviation(int[] data, ScaleType scaleType)
static double	sampleStandardDeviation(long[] data, ScaleType scaleType)
static double	sampleStandardDeviation(DataVector vector)
static double	sampleVariance(double[] data, ScaleType scaleType)
static double	sampleVariance(float[] data, ScaleType scaleType)
static double	sampleVariance(int[] data, ScaleType scaleType)
static double	sampleVariance(long[] data, ScaleType scaleType)
static double	sampleVariance(DataVector vector)
static double	sum(double[] data, ScaleType scaleType)
static double	sum(float[] data, ScaleType scaleType)
static int	sum(int[] data, ScaleType scaleType)
static long	sum(long[] data, ScaleType scaleType)
static double	sum(DataVector vector)
static double	sumUnscaled(double[] data, ScaleType scaleType)	Calculate the sum of the data in the vector, but keep the result unscaled.
static double	sumUnscaled(float[] data, ScaleType scaleType)
static double	sumUnscaled(int[] data, ScaleType scaleType)
static double	sumUnscaled(long[] data, ScaleType scaleType)

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DataVectorDescriptive

public DataVectorDescriptive()

Method Detail

count

public static int count(DataVector vector)

Count the number of values in a vector.

countMissing

public static int countMissing(DataVector vector)

Count the number of missing values.

sum

public static double sum(DataVector vector)

sum

public static double sum(float[] data,
                         ScaleType scaleType)

sum

public static double sum(double[] data,
                         ScaleType scaleType)

sum

public static int sum(int[] data,
                      ScaleType scaleType)

sum

public static long sum(long[] data,
                       ScaleType scaleType)

sumUnscaled

public static double sumUnscaled(float[] data,
                                 ScaleType scaleType)

sumUnscaled

public static double sumUnscaled(double[] data,
                                 ScaleType scaleType)

Calculate the sum of the data in the vector, but keep the result unscaled.

sumUnscaled

public static double sumUnscaled(int[] data,
                                 ScaleType scaleType)

sumUnscaled

public static double sumUnscaled(long[] data,
                                 ScaleType scaleType)

mean

public static double mean(DataVector vector)

Calculate the mean of the data in the vector.

If the vector uses a log-scale, a regular mean is used. For counting or linear scales, a geometric mean is used.

mean

public static double mean(float[] data,
                          ScaleType scaleType)

mean

public static double mean(double[] data,
                          ScaleType scaleType)

mean

public static double mean(int[] data,
                          ScaleType scaleType)

mean

public static double mean(long[] data,
                          ScaleType scaleType)

sampleStandardDeviation

public static double sampleStandardDeviation(DataVector vector)

sampleStandardDeviation

public static double sampleStandardDeviation(float[] data,
                                             ScaleType scaleType)

sampleStandardDeviation

public static double sampleStandardDeviation(double[] data,
                                             ScaleType scaleType)

sampleStandardDeviation

public static double sampleStandardDeviation(int[] data,
                                             ScaleType scaleType)

sampleStandardDeviation

public static double sampleStandardDeviation(long[] data,
                                             ScaleType scaleType)

sampleVariance

public static double sampleVariance(DataVector vector)

sampleVariance

public static double sampleVariance(float[] data,
                                    ScaleType scaleType)

sampleVariance

public static double sampleVariance(double[] data,
                                    ScaleType scaleType)

sampleVariance

public static double sampleVariance(int[] data,
                                    ScaleType scaleType)

sampleVariance

public static double sampleVariance(long[] data,
                                    ScaleType scaleType)

getMissingFloatCountValue

public static float getMissingFloatCountValue(QuantitationType quantitationType)

Obtain the value that indicates a missing value for counting data.

getMissingCountValue

public static double getMissingCountValue(QuantitationType quantitationType)

Obtain the value that indicates a missing value for counting data.