Autocorrelation(Double[]) |
Gets the lag-1 auto-correlation of the elements of an array.
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Autocorrelation(Vector<Double>) |
Gets the lag-1 auto-correlation of the elements of a vector.
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Autocorrelation(Double[], Int32) |
Gets the auto-correlation of the elements of an array.
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Autocorrelation(Vector<Double>, Int32) |
Gets the auto-correlation of the elements of a vector.
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AverageAbsoluteDeviation |
Returns the mean absolute deviation from the mean of a variable.
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BlomScores(IList<Double>) |
Returns the Blom scores corresponding to the specified ranks.
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BlomScores(IList<Int32>) |
Returns the Blom scores corresponding to the specified ranks.
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CentralMoment<T>(T[], Int32) |
Returns the specified central moment of the elements of an array.
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CentralMoment<T>(Vector<T>, Int32) |
Returns the specified central moment of the elements of a vector.
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CoefficientOfVariation |
Gets the coefficient of variation of a variable,
if it exists.
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ColumnMeans<T> |
Returns a vector containing the means of the columns of a matrix.
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ColumnStandardDeviations |
Returns a vector containing the standard deviations of the columns of a matrix.
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ColumnVariances |
Returns a vector containing the variances of the columns of a matrix.
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Correlation<T>(ValueTuple<Vector<T>, Vector<T>>) |
Gets the Pearson correlation coefficient between two sets of values.
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Correlation<T>(Vector<T>, Vector<T>) |
Gets the Pearson correlation coefficient between two sets of values.
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Correlation<T>(T[], T[], Boolean) |
Gets the Pearson correlation coefficient between two arrays.
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Correlation<T>(ReadOnlySpan<T>, ReadOnlySpan<T>, Boolean) |
Gets the Pearson correlation coefficient between two arrays.
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CorrelationAs<T, TResult>(Vector<T>, Vector<T>) |
Gets the Pearson correlation coefficient between two sets of values.
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CorrelationAs<T, TResult>(ReadOnlySpan<T>, ReadOnlySpan<T>, Boolean) |
Gets the Pearson correlation coefficient between two arrays.
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CorrelationMatrix(IList<Vector<Double>>) |
Returns the correlation matrix for a list of numerical variables.
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CorrelationMatrix(ReadOnlySpan<Vector<Double>>) |
Returns the correlation matrix for an array of numerical variables.
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CorrelationMatrix(Vector<Double>[]) |
Returns the correlation matrix for an array of numerical variables.
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CorrelationMatrix<T>(Matrix<T>) |
Returns the correlation matrix for the columns in a matrix.
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Covariance<T>(ValueTuple<Vector<T>, Vector<T>>) |
Gets the covariance between two sets of values.
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Covariance<T>(Vector<T>, Vector<T>) |
Gets the covariance between two sets of values.
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Covariance<T>(ReadOnlySpan<T>, ReadOnlySpan<T>, Boolean) |
Gets the covariance between two sets of values.
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CovarianceAs<T, TResult>(Vector<T>, Vector<T>) |
Gets the covariance between two sets of values.
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CovarianceAs<T, TResult>(ReadOnlySpan<T>, ReadOnlySpan<T>, Boolean) |
Gets the covariance between two sets of values.
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CovarianceMatrix(IList<Vector<Double>>) |
Returns the covariance matrix for a list of numerical variables.
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CovarianceMatrix(ReadOnlySpan<Vector<Double>>) |
Returns the covariance matrix for an array of numerical variables.
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CovarianceMatrix(Vector<Double>[]) |
Returns the covariance matrix for an array of numerical variables.
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CovarianceMatrix<T>(Matrix<T>, MultipleMissingValueAction) |
Returns the covariance matrix for the columns in a matrix.
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GeometricMean(Double[]) |
Returns the geometric mean of the elements of an array.
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GeometricMean(Int32[]) |
Returns the geometric mean of the elements of an array.
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GeometricMean(Vector<Double>) |
Returns the geometric mean of the elements of a vector.
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GeometricMean<T>(Vector<T>) |
Returns the geometric mean of the elements of a numerical variable.
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GetKurtosisEstimate(Vector<Double>) |
Returns an estimate for the kurtosis of the variable.
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GetKurtosisEstimate(ReadOnlySpan<Double>, Boolean) |
Returns an estimate for the kurtosis of the elements of a span.
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GetMeanEstimate(Vector<Double>) |
Returns an estimate for the mean of the variable.
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GetMeanEstimate(ReadOnlySpan<Double>, Boolean) |
Returns an estimate for the mean of the values in a span.
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GetSkewnessEstimate(Vector<Double>) |
Returns an estimate for the skewness of a variable.
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GetSkewnessEstimate(ReadOnlySpan<Double>, Boolean) |
Returns an estimate for the skewness of the elements of a span.
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GetStandardDeviationEstimate(Vector<Double>) |
Returns an estimate for the standard deviation of the variable.
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GetStandardDeviationEstimate(ReadOnlySpan<Double>, Boolean) |
Returns an estimate for the standard deviation of the elements of a span.
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HarmonicMean(Int32[]) |
Returns the harmonic mean of the elements of an array.
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HarmonicMean<T>(T[]) |
Returns the harmonic mean of the elements of an array.
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HarmonicMean<T>(ReadOnlySpan<T>) |
Returns the harmonic mean of the elements of a span.
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HarmonicMean<T>(Vector<T>) |
Returns the harmonic mean of the elements of a vector.
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HarmonicMeanAs<T, TResult> |
Returns the harmonic mean of the elements of a vector.
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InterQuartileRange(Double[]) |
Returns the inter-quartile range of the elements of an array.
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InterQuartileRange(Int32[]) |
Returns the inter-quartile range of the elements of an array.
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InterQuartileRange<T>(Vector<T>) |
Returns the inter-quartile range of the elements of a numerical variable.
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KendallTau<T>(IList<T>, IList<T>) |
Returns Kendall's tau-b correlation coefficient between two sets of values.
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KendallTau<T>(ReadOnlySpan<T>, ReadOnlySpan<T>) |
Returns Kendall's tau-b correlation coefficient between two sets of values.
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Kurtosis<T>(Vector<T>) |
Returns the kurtosis supplement of the elements of a vector.
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Kurtosis<T>(T[], Boolean) |
Returns the kurtosis supplement of the elements of an array.
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Kurtosis<T>(IEnumerable<T>, Boolean) |
Returns the kurtosis supplement of the elements of an array.
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Kurtosis<T>(ReadOnlySpan<T>, Boolean) |
Returns the kurtosis supplement of the elements of a span.
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KurtosisAs<T, TResult>(Vector<T>) |
Returns the kurtosis supplement of the elements of an array.
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KurtosisAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the kurtosis supplement of the elements of a span.
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Max(Double[]) |
Returns the maximum value of the elements of an array.
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Max<T>(IList<T>) |
Returns the maximum value of the elements of a list.
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Max<T>(IList<T>, IComparer<T>) |
Returns the maximum value of the elements of an array.
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Mean(DateTime[]) |
Returns the mean of the elements of an array of DateTime values.
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Mean<T>(Vector<T>) |
Returns the mean of the elements of a vector.
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Mean<T>(T[], Boolean) |
Returns the mean of the elements of a read-only span.
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Mean<T>(IEnumerable<T>, Boolean) |
Returns the mean of the elements of a sequence.
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Mean<T>(ReadOnlySpan<T>, Boolean) |
Returns the mean of the elements of a read-only span.
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MeanAs<T, TResult>(Vector<T>) |
Returns the mean of the elements of a vector.
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MeanAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the mean of the elements of a read-only span
as a value of the specified type.
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Median(Int32[]) |
Returns the median of the elements of an array.
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Median<T>(IList<T>) |
Returns the median of the elements of an array.
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Median<T>(Vector<T>) |
Returns the median of the elements of a vector.
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Median<T>(T[], Boolean) |
Returns the median of the elements of an array.
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Median<T>(ReadOnlySpan<T>, Boolean) |
Returns the median of the elements of a span.
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MedianAbsoluteDeviation |
Returns the median absolute deviation of a variable.
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MidMean |
Returns the mean of the data values between the 25th and 75th percentiles.
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Min(Double[]) |
Returns the minimum value of the elements of an array.
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Min<T>(IList<T>) |
Returns the minimum value of the elements of a list.
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Min<T>(IList<T>, IComparer<T>) |
Returns the maximum value of the elements of an array.
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MinMax<T>(Vector<T>) |
Returns the minimum and maximum value of the elements of a numerical variable.
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MinMax<T>(IEnumerable<T>, Boolean) |
Returns the maximum value of the elements of a sequence.
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MinMax<T>(IEnumerable<T>, IComparer<T>, Boolean) |
Returns the smallest and largest value of the elements of an array.
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Moment(Int32[], Int32) |
Returns the specified raw moment of the elements of an array.
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Moment<T>(T[], Int32) |
Returns the specified raw moment of the elements of an array.
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Moment<T>(Vector<T>, Int32) |
Returns the specified raw moment of the elements of an array.
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NearestCorrelationMatrix(SymmetricMatrix<Double>) |
Returns a positive semi-definite matrix close to a matrix.
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NearestCorrelationMatrix(SymmetricMatrix<Double>, NearestCorrelationMatrixAlgorithm) |
Returns a positive semi-definite matrix close to a matrix.
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NearestCorrelationMatrix(SymmetricMatrix<Double>, NearestCorrelationMatrixAlgorithm, Double, Int32, Double) |
Returns a positive semi-definite matrix close to a matrix.
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Percentile(Double[], Int32) |
Gets the specified percentile.
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Percentile(Vector<Double>, Double) |
Gets the specified percentile.
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Percentile<T>(Vector<T>, Int32, QuantileType) |
Gets the specified percentile.
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Percentiles(Double[], Int32[]) |
Gets the specified percentiles.
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Percentiles(Vector<Double>, Int32[]) |
Gets the specified percentiles.
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Percentiles(Vector<Double>, ReadOnlySpan<Int32>) |
Gets the specified percentiles.
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Percentiles<T>(Vector<T>, Int32[]) |
Gets the specified percentiles.
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PopulationKurtosis<T>(Vector<T>) |
Returns the kurtosis supplement of the elements of an array.
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PopulationKurtosis<T>(T[], Boolean) |
Returns the kurtosis supplement of the elements of an array.
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PopulationKurtosis<T>(IEnumerable<T>, Boolean) |
Returns the kurtosis supplement of a sequence.
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PopulationKurtosis<T>(ReadOnlySpan<T>, Boolean) |
Returns the kurtosis supplement of the elements of an array.
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PopulationKurtosisAs<T, TResult>(Vector<T>) |
Returns the kurtosis supplement of the elements of an array.
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PopulationKurtosisAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the kurtosis supplement of the elements of an array.
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PopulationSkewness<T>(Vector<T>) |
Returns the population skewness of the elements of an array.
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PopulationSkewness<T>(T[], Boolean) |
Returns the population skewness of the elements of an array.
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PopulationSkewness<T>(IEnumerable<T>, Boolean) |
Returns the population skewness of a sequence.
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PopulationSkewness<T>(ReadOnlySpan<T>, Boolean) |
Returns the population skewness of the elements of a span.
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PopulationSkewnessAs<T, TResult>(Vector<T>) |
Returns the population skewness of the elements of an array.
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PopulationSkewnessAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the population skewness of the elements of a span.
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PopulationStandardDeviation(DateTime[]) |
Returns the population standard deviation of the elements of an array.
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PopulationStandardDeviation(Vector<DateTime>) |
Returns the population standard deviation of the elements of a numerical variable.
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PopulationStandardDeviation<T>(Vector<T>) |
Returns the population standard deviation of the elements of a vector.
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PopulationStandardDeviation<T>(T[], Boolean) |
Returns the population standard deviation of the elements of an array.
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PopulationStandardDeviation<T>(IEnumerable<T>, Boolean) |
Returns the population standard deviation of the elements of an array.
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PopulationStandardDeviation<T>(ReadOnlySpan<T>, Boolean) |
Returns the population standard deviation of the elements of a span.
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PopulationStandardDeviationAs<T, TResult>(Vector<T>) |
Returns the population standard deviation of the elements of a vector.
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PopulationStandardDeviationAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the population standard deviation of the elements of a span.
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PopulationVariance<T>(Vector<T>) |
Returns the variance of the elements of a vector.
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PopulationVariance<T>(T[], Boolean) |
Returns the variance of the elements of an array.
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PopulationVariance<T>(IEnumerable<T>, Boolean) |
Returns the variance of the elements of an array.
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PopulationVariance<T>(ReadOnlySpan<T>, Boolean) |
Returns the variance of the elements of a span.
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PopulationVarianceAs<T, TResult>(Vector<T>) |
Returns the variance of the elements of a vector.
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PopulationVarianceAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the variance of the elements of a span.
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ProcessMissingValues(Double[], MissingValueAction) |
Applies the specified action to the missing values in the values.
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ProcessMissingValues(Vector<Double>, MissingValueAction) |
Applies the specified action to the missing values in the values.
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ProcessMissingValues(Double[], MissingValueAction, Double) |
Applies the specified action to the missing values in the values.
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ProcessMissingValues(Vector<Double>, MissingValueAction, Double) |
Applies the specified action to the missing values in the values.
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ProcessMissingValues(Double[], Double, MissingValueAction, Double) |
Applies the specified action to the missing values in the values.
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ProcessMissingValues(Vector<Double>, Double, MissingValueAction, Double) |
Applies the specified action to the missing values in the values.
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Quantile |
Gets the specified quantile.
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Quantiles(Double[], Double[]) |
Gets the specified quantiles.
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Quantiles(Vector<Double>, Double[]) |
Gets the specified quantiles.
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Quantiles(Vector<Double>, ReadOnlySpan<Double>) |
Gets the specified quantiles.
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Quantiles<T>(Vector<T>, Double[]) |
Gets the specified quantiles.
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Range<T>(T[]) |
Returns the range of the elements of an array.
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Range<T>(Vector<T>) |
Returns the range of the elements of a numerical variable.
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RankCorrelation(Vector<Double>, Vector<Double>) |
Gets the Spearman rank correlation coefficient between two sets of values.
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RankCorrelation<T>(T[], T[]) |
Gets the Spearman rank correlation coefficient between two sets of values.
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Ranks(DateTime[]) |
Returns the ranks of the observations.
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Ranks(Vector<Double>) |
Returns the ranks of the observations.
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Ranks(DateTime[], RankTiebreaker, TimeSpan) |
Returns the ranks of the observations.
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Ranks<T>(T[]) |
Returns the ranks of the observations.
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Ranks<T>(T[], RankTiebreaker, T) |
Returns the ranks of the observations.
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Ranks<T>(ReadOnlySpan<T>, RankTiebreaker, T) |
Returns the ranks of the observations.
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Ranks<T>(Vector<T>, RankTiebreaker, T) |
Returns the ranks of the observations.
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RootMeanSquare(DateTime[]) |
Returns the root-mean-square of the elements of an array.
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RootMeanSquare(Double[]) |
Returns the root-mean-square of the elements of an array.
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RootMeanSquare(Int32[]) |
Returns the root-mean-square of the elements of an array.
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RootMeanSquare(Vector<Double>) |
Returns the root-mean-square of the elements of a vector.
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RowMeans<T> |
Returns a vector containing the means of the rows of a matrix.
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RowStandardDeviations |
Returns a vector containing the standard deviations of the rows of a matrix.
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RowVariances |
Returns a vector containing the variances of the rows of a matrix.
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Skewness<T>(Vector<T>) |
Returns the skewness of the elements of an array.
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Skewness<T>(T[], Boolean) |
Returns the skewness of the elements of an array.
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Skewness<T>(IEnumerable<T>, Boolean) |
Returns the skewness of a sequence.
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Skewness<T>(ReadOnlySpan<T>, Boolean) |
Returns the skewness of the elements of a span.
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SkewnessAs<T, TResult>(Vector<T>) |
Returns the skewness of the elements of an array.
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SkewnessAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the skewness of the elements of a span.
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StandardDeviation(DateTime[]) |
Returns the standard deviation of the elements of an array.
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StandardDeviation(Vector<DateTime>) |
Returns the standard deviation of the elements of a numerical variable.
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StandardDeviation<T>(Vector<T>) |
Returns the standard deviation of the elements of a vector.
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StandardDeviation<T>(T[], Boolean) |
Returns the standard deviation of the elements of an array.
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StandardDeviation<T>(IEnumerable<T>, Boolean) |
Returns the standard deviation of the elements of a sequence.
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StandardDeviation<T>(ReadOnlySpan<T>, Boolean) |
Returns the standard deviation of the elements of a span.
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StandardDeviationAs<T, TResult>(Vector<T>) |
Returns the standard deviation of the elements of a vector.
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StandardDeviationAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the standard deviation of the elements of a vector.
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Sum<T>(T[], Boolean) |
Returns the sum of the elements of an array.
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Sum<T>(IEnumerable<T>, Boolean) |
Returns the sum of the elements of a sequence.
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Sum<T>(ReadOnlySpan<T>, Boolean) |
Returns the sum of the elements of a span.
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SumAs<T, TResult>(Vector<T>) |
Returns the sum of the elements of a vector.
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SumAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the sum of the elements of a span.
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SumOfSquares(Double[]) |
Returns the sum of the squares of the elements of an array.
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SumOfSquares(IEnumerable<Double>) |
Returns the sum of the squares of the elements of an array.
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SumOfSquares(Int32[]) |
Returns the sum of the squares of the elements of an array.
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SumOfSquares<T>(Vector<T>) |
Returns the sum of the squares of the observations in a Vector<T>.
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TrimmedMean(Double[], Double) |
Returns the trimmed mean of the elements of an array.
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TrimmedMean(Vector<Double>, Double) |
Returns the trimmed mean of the elements of a vector.
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TrimmedMean<T>(T[], Double) |
Returns the trimmed mean of the elements of a numerical variable.
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TrimmedMean<T>(Vector<T>, Double) |
Returns the trimmed mean of the elements of a numerical variable.
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TukeyScores(IList<Double>) |
Returns the Tukey scores corresponding to the specified ranks.
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TukeyScores(IList<Int32>) |
Returns the Tukey scores corresponding to the specified ranks.
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VanDerWaerdenScores(IList<Double>) |
Returns the van der Waerden scores corresponding to the specified ranks.
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VanDerWaerdenScores(IList<Int32>) |
Returns the van der Waerden scores corresponding to the specified ranks.
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Variance<T>(Vector<T>) |
Returns the variance of the elements of a vector.
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Variance<T>(T[], Boolean) |
Returns the variance of the elements of an array.
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Variance<T>(IEnumerable<T>, Boolean) |
Returns the variance of the elements of a sequence.
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Variance<T>(ReadOnlySpan<T>, Boolean) |
Returns the variance of the elements of a span.
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VarianceAs<T, TResult>(Vector<T>) |
Returns the variance of the elements of a span.
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VarianceAs<T, TResult>(ReadOnlySpan<T>, Boolean) |
Returns the variance of the elements of a span.
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WeightedMean<T> |
Returns the mean of the variable with observations weighted by the specified vector.
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WeightedStandardDeviation<T>(Vector<T>, Vector<T>) |
Returns the standard deviation of the variable with observations weighted by the specified vector.
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WeightedStandardDeviation<T>(T[], T[], Boolean) |
Returns the standard deviation of the array with observations weighted by the specified array.
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WeightedStandardDeviation<T>(ReadOnlySpan<T>, ReadOnlySpan<T>, Boolean) |
Returns the standard deviation of the variable with observations weighted by the specified vector.
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WinsorizedMean |
Returns the Winsorized mean of the variable..
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