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