.FloatArrayStat (gb.gsl)
This virtual class gives access to the statistics functions of the gsl library.
See
the gsl documentation for more details.
This class is virtual.
This class is not creatable.
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AbsDev
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Return the absolute deviation from the mean of the array data.
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AutoCorrelation
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Return the lag-1 autocorrelation of the array data.
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Correlation
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This function efficiently computes the Pearson correlation coefficient between the current array and the Other array, which must both be the same size.
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Covariance
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Return the covariance of the array data and of the Other array data (that must be the same size).
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Gastwirth
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Return the Gastwirth location estimator of the array data.
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Kurtosis
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Return the kurtosis of the array data.
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Mad
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This function returns the median absolute deviation of the data.
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Max
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Return the maximum value of the array data.
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Mean
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Return the arithmetic mean of the array data.
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Median
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Return the median value of the array data.
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Min
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Return the minimum value of the array data.
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Qn
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This function returns the Qn statistic of the current array data. The elements of the array must be in ascending numerical order.
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Quantile
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This function returns a quantile value of the current data array. The elements of the array must be in ascending numerical order.
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Skew
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Return the skewness of the array data.
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Sn
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This function returns the Sn statistic of the current array data. The elements of the array must be in ascending numerical order.
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StdDev
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Return the standard deviation of the array data, i.e. the square root of its variance.
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TrimmedMean
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Return the trimmed mean of the array data.
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Tss
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Return the total sum of squares of array data about the mean.
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Variance
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Return the estimated, or sample, variance of the array data.
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