Gsl.Stats – gsl – Vala Binding Reference

public double absdev (double[] data, size_t stride, size_t n)

public double absdev_m (double[] data, size_t stride, size_t n, double mean)

public double correlation (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n)

public double covariance (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n)

public double covariance_m (double[] data1, size_t stride1, double[] data2, size_t stride2, size_t n, double mean1, double mean2)

public double kurtosis (double[] data, size_t stride, size_t n)

public double kurtosis_m_sd (double[] data, size_t stride, size_t n, double mean, double sd)

public double lag1_autocorrelation (double[] data, size_t stride, size_t n)

public double lag1_autocorrelation_m (double[] data, size_t stride, size_t n, double mean)

public double max (double[] data, size_t stride, size_t n)

public size_t max_index (double[] data, size_t stride, size_t n)

public double mean (double[] data, size_t stride, size_t n)

public double median_from_sorted_data (double[] sorted_data, size_t stride, size_t n)

public double min (double[] data, size_t stride, size_t n)

public size_t min_index (double[] data, size_t stride, size_t n)

public void minmax (out double min, out double max, double[] data, size_t stride, size_t n)

public void minmax_index (out size_t min, out size_t max, double[] data, size_t stride, size_t n)

public double quantile_from_sorted_data (double[] sorted_data, size_t stride, size_t n, double f)

public double sd (double[] data, size_t stride, size_t n)

public double sd_m (double[] data, size_t stride, size_t n, double mean)

public double sd_with_fixed_mean (double[] data, size_t stride, size_t n, double mean)

public double skew (double[] data, size_t stride, size_t n)

public double skew_m_sd (double[] data, size_t stride, size_t n, double mean, double sd)

public double tss (double[] data, size_t stride, size_t n)

public double tss_m (double[] data, size_t stride, size_t n, double mean)

public double variance (double[] data, size_t stride, size_t n)

public double variance_m (double[] data, size_t stride, size_t n, double mean)

public double variance_with_fixed_mean (double[] data, size_t stride, size_t n, double mean)

public double wabsdev (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wabsdev_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)

public double wkurtosis (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wkurtosis_m_sd (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean, double wsd)

public double wmean (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wsd (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wsd_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)

public double wsd_with_fixed_mean (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)

public double wskew (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wskew_m_sd (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean, double wsd)

public double wtss (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wtss_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double mean)

public double wvariance (double[] w, size_t wstride, double[] data, size_t stride, size_t n)

public double wvariance_m (double[] w, size_t wstride, double[] data, size_t stride, size_t n, double wmean)

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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