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.FloatArrayStat
AbsDev
AutoCorrelation
Correlation
Covariance
Gastwirth
Kurtosis
Mad
Max
Mean
Median
Min
Qn
Quantile
Skew
Sn
StdDev
TrimmedMean
Tss
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.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.

Methods
AbsDev   Return the absolute deviation from the mean of the array data.
AutoCorrelation   Return the lag-1 autocorrelation of the array data.
Correlation   This function efficiently computes the Pearson correlation coefficient between the current array and the Other array, which must both be the same size.
Covariance   Return the covariance of the array data and of the Other array data (that must be the same size).
Gastwirth   Return the Gastwirth location estimator of the array data.
Kurtosis   Return the kurtosis of the array data.
Mad   This function returns the median absolute deviation of the data.
Max   Return the maximum value of the array data.
Mean   Return the arithmetic mean of the array data.
Median   Return the median value of the array data.
Min   Return the minimum value of the array data.
Qn   This function returns the Qn statistic of the current array data. The elements of the array must be in ascending numerical order.
Quantile   This function returns a quantile value of the current data array. The elements of the array must be in ascending numerical order.
Skew   Return the skewness of the array data.
Sn   This function returns the Sn statistic of the current array data. The elements of the array must be in ascending numerical order.
StdDev   Return the standard deviation of the array data, i.e. the square root of its variance.
TrimmedMean   Return the trimmed mean of the array data.
Tss   Return the total sum of squares of array data about the mean.
Variance   Return the estimated, or sample, variance of the array data.