Package ubic.gemma.core.analysis.stats
Class DataVectorDescriptive
java.lang.Object
ubic.gemma.core.analysis.stats.DataVectorDescriptive
Compute descriptive statistics for
DataVector.- Author:
- poirigui
- See Also:
-
Constructor Summary
Constructors -
Method Summary
Modifier and TypeMethodDescriptionstatic intcount(DataVector vector) Count the number of values in a vector.static intcountMissing(DataVector vector) Count the number of missing values.static doublestatic doublestatic doublestatic doublestatic doublemean(DataVector vector) Calculate the mean of the data in the vector.static doublesampleStandardDeviation(double[] data, ScaleType scaleType) static doublesampleStandardDeviation(float[] data, ScaleType scaleType) static doublesampleStandardDeviation(int[] data, ScaleType scaleType) static doublesampleStandardDeviation(long[] data, ScaleType scaleType) static doublesampleStandardDeviation(DataVector vector) static doublesampleVariance(double[] data, ScaleType scaleType) static doublesampleVariance(float[] data, ScaleType scaleType) static doublesampleVariance(int[] data, ScaleType scaleType) static doublesampleVariance(long[] data, ScaleType scaleType) static doublesampleVariance(DataVector vector) static doublestatic doublestatic intstatic longstatic doublesum(DataVector vector) static doublesumUnscaled(double[] data, ScaleType scaleType) Calculate the sum of the data in the vector, but keep the result unscaled.static doublesumUnscaled(float[] data, ScaleType scaleType) static doublesumUnscaled(int[] data, ScaleType scaleType) static doublesumUnscaled(long[] data, ScaleType scaleType)
-
Constructor Details
-
DataVectorDescriptive
public DataVectorDescriptive()
-
-
Method Details
-
count
Count the number of values in a vector. -
countMissing
Count the number of missing values. -
sum
-
sum
-
sum
-
sum
-
sum
-
sumUnscaled
-
sumUnscaled
Calculate the sum of the data in the vector, but keep the result unscaled. -
sumUnscaled
-
sumUnscaled
-
mean
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
-
mean
-
mean
-
mean
-
sampleStandardDeviation
-
sampleStandardDeviation
-
sampleStandardDeviation
-
sampleStandardDeviation
-
sampleStandardDeviation
-
sampleVariance
-
sampleVariance
-
sampleVariance
-
sampleVariance
-
sampleVariance
-