Gsl.Stats
Description:
Content:
Functions:
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public double mean (double[] data, size_t stride, size_t n)
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public double variance (double[] data, size_t stride, size_t n)
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public double variance_m (double[] data, size_t stride, size_t n, double mean)
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public double sd (double[] data, size_t stride, size_t n)
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public double sd_m (double[] data, size_t stride, size_t n, double mean)
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public double tss (double[] data, size_t stride, size_t n)
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public double tss_m (double[] data, size_t stride, size_t n, double mean)
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public double variance_with_fixed_mean (double[] data, size_t stride, size_t n, double mean)
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public double sd_with_fixed_mean (double[] data, size_t stride, size_t n, double mean)
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public double absdev (double[] data, size_t stride, size_t n)
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public double absdev_m (double[] data, size_t stride, size_t n, double mean)
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public double skew (double[] data, size_t stride, size_t n)
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public double skew_m_sd (double[] data, size_t stride, size_t n, double mean, double sd)
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public double kurtosis (double[] data, size_t stride, size_t n)
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public double kurtosis_m_sd (double[] data, size_t stride, size_t n, double mean, double sd)
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public double lag1_autocorrelation (double[] data, size_t stride, size_t n)
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public double lag1_autocorrelation_m (double[] data, size_t stride, size_t n, double mean)
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public double covariance (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n)
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public double covariance_m (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n, double mean1, double mean2)
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public double correlation (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n)
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public double wmean (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wvariance (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wvariance_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)
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public double wsd (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wsd_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)
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public double wtss (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wtss_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double mean)
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public double wvariance_with_fixed_mean (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)
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public double wsd_with_fixed_mean (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)
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public double wabsdev (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wabsdev_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)
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public double wskew (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wskew_m_sd (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean, double wsd)
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public double wkurtosis (double[] w, size_t wstride, double[] data, size_t stride, size_t n)
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public double wkurtosis_m_sd (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean, double wsd)
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public double max (double[] data, size_t stride, size_t n)
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public double min (double[] data, size_t stride, size_t n)
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public void minmax (out double min, out double max, double[] data, size_t stride, size_t n)
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public size_t max_index (double[] data, size_t stride, size_t n)
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public size_t min_index (double[] data, size_t stride, size_t n)
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public void minmax_index (out size_t min, out size_t max, double[] data, size_t stride, size_t n)
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public double median_from_sorted_data (double[] sorted_data, size_t stride, size_t n)
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public double quantile_from_sorted_data (double[] sorted_data, size_t stride, size_t n, double f)