﻿ Measures Methods

# Measures Methods

The Measures type exposes the following members.

Methods
NameDescription
ContraHarmonicMean(Double)
Computes the contraharmonic mean of the given values.
ContraHarmonicMean(Double, Int32)
Computes the contraharmonic mean of the given values.
Correlation(Double)
Calculates the correlation matrix for a matrix of samples.
Correlation(Double)
Calculates the correlation matrix for a matrix of samples.
Correlation(Double, Double, Double)
Calculates the correlation matrix for a matrix of samples.
Correlation(Double, Double, Double)
Calculates the correlation matrix for a matrix of samples.
Covariance(Double)
Calculates the covariance matrix of a sample matrix.
Covariance(Double)
Calculates the covariance matrix of a sample matrix.
Covariance(Double, Double)
Calculates the covariance matrix of a sample matrix.
Covariance(Double, Int32)
Calculates the covariance matrix of a sample matrix.
Covariance(Double, Double)
Calculates the covariance matrix of a sample matrix.
Covariance(Double, Int32)
Calculates the covariance matrix of a sample matrix.
Covariance(Double, Double, Boolean)
Computes the Covariance between two arrays of values.
Covariance(Double, Double, Double, Double, Boolean)
Computes the Covariance between two arrays of values.
Entropy(Double)
Computes the entropy for the given values.
Entropy(Double)
Computes the entropy for the given values.
Entropy(Boolean, Boolean)
Computes the entropy function between an expected value and a predicted value.
Entropy(Boolean, Double)
Computes the entropy function between an expected value and a predicted value between 0 and 1.
Entropy(IListInt32, Int32)
Computes the entropy for the given values.
Entropy(Double, Double)
Computes the entropy for the given values.
Entropy(Double, Double)
Computes the entropy for the given values.
Entropy(Double, FuncDouble, Double)
Computes the entropy function for a set of numerical values in a given Probability Density Function (pdf).
Entropy(Int32, IntRange)
Computes the entropy for the given values.
Entropy(Int32, Int32)
Computes the entropy for the given values.
Entropy(IListInt32, Int32, Int32)
Computes the entropy for the given values.
Entropy(Double, Double, FuncDouble, Double)
Computes the entropy function for a set of numerical values in a given Probability Density Function (pdf).
Entropy(Int32, Int32, Int32)
Computes the entropy for the given values.
ExponentialWeightedCovariance(Double, Double, Boolean)
Calculates the exponentially weighted covariance matrix.
ExponentialWeightedCovariance(Double, Int32, Double, Boolean)
Calculates the exponentially weighted covariance matrix.
ExponentialWeightedMean(Double, Double)
Calculates the exponentially weighted mean.
ExponentialWeightedMean(Double, Double)
Calculates the exponentially weighted mean vector.
ExponentialWeightedMean(Double, Int32, Double)
Calculates the exponentially weighted mean.
ExponentialWeightedMean(Double, Int32, Double)
Calculates the exponentially weighted mean vector.
ExponentialWeightedVariance(Double, Double, Boolean)
Calculates the exponentially weighted variance.
ExponentialWeightedVariance(Double, Int32, Double, Boolean)
Calculates the exponentially weighted variance.
GeometricMean(Double)
Computes the Geometric mean of the given values.
GeometricMean(Int32)
Computes the geometric mean of the given values.
GetHistogramRange
Get range around median of an histogram containing specified percentage of values.
GrandMean
Computes the (weighted) grand mean of a set of samples.
HistogramEntropy
Calculate entropy value of an histogram.
HistogramMax
Gets the maximum value in the histogram.
HistogramMean
Calculate mean value of an histogram.
HistogramMedian
Calculate median value of an histogram.
HistogramMin
Gets the minimum value in the histogram.
HistogramMode
Calculate mode value of an histogram.
HistogramStandardDeviation(Int32)
Calculate standard deviation of an histogram.
HistogramStandardDeviation(Int32, Double)
Calculate standard deviation of an histogram.
HistogramSum
Calculates the total number of samples in a histogram.
Kurtosis(Double, Boolean)
Computes the Kurtosis vector for the given matrix.
Kurtosis(Double, Boolean)
Computes the Kurtosis for the given values.
Kurtosis(Double, Boolean)
Computes the Kurtosis vector for the given matrix.
Kurtosis(Double, Double, Boolean)
Computes the sample Kurtosis vector for the given matrix.
Kurtosis(Double, Double, Boolean)
Computes the Kurtosis for the given values.
Kurtosis(Double, Double, Boolean)
Computes the Kurtosis vector for the given matrix.
LogGeometricMean(Double)
Computes the log geometric mean of the given values.
LogGeometricMean(Int32)
Computes the log geometric mean of the given values.
LowerQuartile
Computes the lower quartile (Q1) for the given data.
Mean(Double)
Computes the mean value across all dimensions of the given matrix.
Mean(Double)
Computes the mean of the given values.
Mean(Double)
Computes the mean value across all dimensions of the given matrix.
Mean(Int32)
Computes the mean of the given values.
Mean(Single)
Computes the mean of the given values.
Mean(UInt16)
Computes the mean of the given values.
Mean(Double, Double)
Calculates the matrix Mean vector.
Mean(Double, Int32)
Calculates the matrix Mean vector.
Mean(Double, Double)
Calculates the matrix Mean vector.
Mean(Double, Int32)
Calculates the matrix Mean vector.
Median(Double, QuantileMethod)
Calculates the matrix Medians vector.
Median(Double, QuantileMethod)
Calculates the matrix Medians vector.
Median(Double, Boolean, QuantileMethod, Boolean)
Computes the Median of the given values.
Median(Int32, Boolean, QuantileMethod, Boolean)
Computes the Median of the given values.
ModeT(T)
Calculates the matrix Modes vector.
ModeT(T)
Computes the Mode of the given values.
ModeT(T)
Calculates the matrix Modes vector.
ModeT(T, Int32)
Computes the Mode of the given values.
ModeT(T, Boolean, Boolean)
Computes the Mode of the given values.
ModeT(T, Int32, Boolean, Boolean)
Computes the Mode of the given values.
PooledCovariance
Calculates the weighted pooled covariance matrix from a set of covariance matrices.
PooledStandardDeviation(Double)
Computes the pooled standard deviation of the given values.
PooledStandardDeviation(Boolean, Double)
Computes the pooled standard deviation of the given values.
PooledStandardDeviation(Int32, Double, Boolean)
Computes the pooled standard deviation of the given values.
PooledVariance(Double)
Computes the pooled variance of the given values.
PooledVariance(Boolean, Double)
Computes the pooled variance of the given values.
PooledVariance(Int32, Double, Boolean)
Computes the pooled variance of the given values.
Quantile
Computes single quantile for the given sequence.
Quantiles
Computes multiple quantiles for the given sequence.
Quartiles(Double, DoubleRange, QuantileMethod)
Computes the Quartiles of the given values.
Quartiles(Double, DoubleRange, QuantileMethod)
Computes the Quartiles of the given values.
Quartiles(Double, Double, Double, QuantileMethod)
Computes the Quartiles of the given values.
Quartiles(Double, Double, Double, QuantileMethod)
Computes the Quartiles of the given values.
Quartiles(Double, DoubleRange, Boolean, QuantileMethod, Boolean)
Computes the Quartiles of the given values.
Quartiles(Double, Double, Double, Boolean, QuantileMethod, Boolean)
Computes the Quartiles of the given values.
Scatter(Double, Double)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Double)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Double)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
Scatter(Double, Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
Skewness(Double, Boolean)
Computes the Skewness for the given values.
Skewness(Double, Boolean)
Computes the Skewness for the given values.
Skewness(Double, Boolean)
Computes the Skewness for the given values.
Skewness(Double, Double, Boolean)
Computes the Skewness vector for the given matrix.
Skewness(Double, Double, Boolean)
Computes the Skewness for the given values.
Skewness(Double, Double, Boolean)
Computes the Skewness vector for the given matrix.
StandardDeviation(Double)
Calculates the matrix Standard Deviations vector.
StandardDeviation(Single)
Computes the Standard Deviation of the given values.
StandardDeviation(Double, Double)
Calculates the matrix Standard Deviations vector.
StandardDeviation(Double, Boolean)
Computes the Standard Deviation of the given values.
StandardDeviation(Double, Boolean)
Calculates the matrix Standard Deviations vector.
StandardDeviation(Int32, Double)
Computes the Standard Deviation of the given values.
StandardDeviation(Single, Single)
Computes the Standard Deviation of the given values.
StandardDeviation(Double, Double, Boolean)
Computes the Standard Deviation of the given values.
StandardDeviation(Double, Double, Boolean)
Calculates the matrix Standard Deviations vector.
StandardError(Double)
Computes the Standard Error vector for a given matrix.
StandardError(Double)
Computes the Standard Error for a sample size, which estimates the standard deviation of the sample mean based on the population mean.
StandardError(Int32, Double)
Computes the Standard Error for a sample size, which estimates the standard deviation of the sample mean based on the population mean.
StandardError(Int32, Double)
Computes the Standard Error vector for a given matrix.
TruncatedMean
Computes the truncated (trimmed) mean of the given values.
UpperQuartile
Computes the upper quartile (Q3) for the given data.
Variance(Double)
Calculates the matrix Variance vector.
Variance(Double)
Computes the Variance of the given values.
Variance(Double)
Calculates the matrix Variance vector.
Variance(Int32)
Computes the Variance of the given values.
Variance(Single)
Computes the Variance of the given values.
Variance(Double, Double)
Calculates the matrix Variance vector.
Variance(Double, Boolean)
Computes the Variance of the given values.
Variance(Double, Double)
Computes the Variance of the given values.
Variance(Int32, Boolean)
Computes the Variance of the given values.
Variance(Single, Single)
Computes the Variance of the given values.
Variance(Double, Double, Boolean)
Computes the Variance of the given values.
Variance(Double, Double, Boolean)
Calculates the matrix Variance vector.
Variance(Int32, Double, Boolean)
Computes the Variance of the given values.
WeightedCovariance(Double, Double, Double)
Calculates the covariance matrix of a sample matrix.
WeightedCovariance(Double, Double, Int32)
Calculates the covariance matrix of a sample matrix.
WeightedCovariance(Double, Int32, Int32)
Calculates the covariance matrix of a sample matrix.
WeightedCovariance(Double, Double, Double, Int32)
Calculates the covariance matrix of a sample matrix.
WeightedCovariance(Double, Int32, Double, Int32)
Calculates the covariance matrix of a sample matrix.
WeightedEntropy(IListInt32, IListDouble, Int32)
Computes the entropy for the given values.
WeightedEntropy(Double, Double, FuncDouble, Double)
Computes the entropy function for a set of numerical values in a given Probability Density Function (pdf).
WeightedEntropy(Double, Double, Int32)
Computes the entropy for the given values.
WeightedEntropy(Double, Int32, FuncDouble, Double)
Computes the entropy function for a set of numerical values in a given Probability Density Function (pdf).
WeightedEntropy(Int32, Double, Int32)
Computes the entropy for the given values.
WeightedEntropy(IListInt32, IListDouble, Int32, Int32)
Computes the entropy for the given values.
WeightedEntropy(Double, Double, Int32, Int32)
Computes the entropy for the given values.
WeightedEntropy(Int32, Double, Int32, Int32)
Computes the entropy for the given values.
WeightedMax(Double, Double, Int32, Boolean)
Gets the maximum value in a vector of observations that has a weight higher than zero.
WeightedMax(Double, Int32, Int32, Boolean)
Gets the maximum value in a vector of observations that has a weight higher than zero.
WeightedMean(Double, Double)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Int32)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Double)
Computes the Weighted Mean of the given values.
WeightedMean(Double, Int32)
Computes the Weighted Mean of the given values.
WeightedMean(Double, Double)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Int32)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Double, Int32)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Int32, Int32)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Double, Int32)
Calculates the weighted matrix Mean vector.
WeightedMean(Double, Int32, Int32)
Calculates the weighted matrix Mean vector.
WeightedMin(Double, Double, Int32, Boolean)
Gets the minimum value in a vector of observations that has a weight higher than zero.
WeightedMin(Double, Int32, Int32, Boolean)
Gets the minimum value in a vector of observations that has a weight higher than zero.
WeightedModeT(T, Double, Boolean, Boolean)
Computes the Mode of the given values.
WeightedModeT(T, Int32, Boolean, Boolean)
Computes the Mode of the given values.
WeightedScatter(Double, Double, Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
WeightedScatter(Double, Int32, Double, Double, Int32)
Calculates the scatter matrix of a sample matrix.
WeightedStandardDeviation(Double, Double)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Int32)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Double)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Int32)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Double, Double)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Int32, Double)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Double, WeightType)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Double, Double)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Int32, Double)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Double, Boolean)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Int32, Boolean)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Double, Boolean, WeightType)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Int32, Double, Boolean)
Computes the Standard Deviation of the given values.
WeightedStandardDeviation(Double, Double, Double, Boolean)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Int32, Double, Boolean)
Calculates the matrix Standard Deviations vector.
WeightedStandardDeviation(Double, Double, Double, Boolean, WeightType)
Computes the Standard Deviation of the given values.
WeightedVariance(Double, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Int32)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Int32)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Int32)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, WeightType)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Int32, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, WeightType)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Double, Boolean)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Double, Double)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Int32, Boolean)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Int32, Double)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Double, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Int32, Double)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, Double, WeightType)
Calculates the matrix Variance vector.
WeightedVariance(Double, Int32, Double, Boolean)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, Boolean, WeightType)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Int32, Double, Boolean)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Int32, Double, Boolean)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, Double, Boolean, WeightType)
Calculates the matrix Variance vector.
WeightedVariance(Double, Double, Double, Boolean, WeightType)
Computes the weighted Variance of the given values.
WeightedVariance(Double, Double, Double, Boolean, WeightType)
Calculates the matrix Variance vector.
Top