Gsl.Stats
Description:
Content:
Functions:
- 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)