Measures Class |
Namespace: Accord.Statistics
The Measures type exposes the following members.
Name | Description | |
---|---|---|
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.
|