/* statistics/gsl_statistics_int.h * * Copyright (C) 1996, 1997, 1998, 1999, 2000 Jim Davies, Brian Gough * * This program is free software; you can redistribute it and/or modify * it under the terms of the GNU General Public License as published by * the Free Software Foundation; either version 2 of the License, or (at * your option) any later version. * * This program is distributed in the hope that it will be useful, but * WITHOUT ANY WARRANTY; without even the implied warranty of * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU * General Public License for more details. * * You should have received a copy of the GNU General Public License * along with this program; if not, write to the Free Software * Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA. */ #ifndef __GSL_STATISTICS_INT_H__ #define __GSL_STATISTICS_INT_H__ #include #undef __BEGIN_DECLS #undef __END_DECLS #ifdef __cplusplus # define __BEGIN_DECLS extern "C" { # define __END_DECLS } #else # define __BEGIN_DECLS /* empty */ # define __END_DECLS /* empty */ #endif __BEGIN_DECLS double gsl_stats_int_mean (const int data[], const size_t stride, const size_t n); double gsl_stats_int_variance (const int data[], const size_t stride, const size_t n); double gsl_stats_int_sd (const int data[], const size_t stride, const size_t n); double gsl_stats_int_variance_with_fixed_mean (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_sd_with_fixed_mean (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_absdev (const int data[], const size_t stride, const size_t n); double gsl_stats_int_skew (const int data[], const size_t stride, const size_t n); double gsl_stats_int_kurtosis (const int data[], const size_t stride, const size_t n); double gsl_stats_int_lag1_autocorrelation (const int data[], const size_t stride, const size_t n); double gsl_stats_int_covariance (const int data1[], const size_t stride1,const int data2[], const size_t stride2, const size_t n); double gsl_stats_int_variance_m (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_sd_m (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_absdev_m (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_skew_m_sd (const int data[], const size_t stride, const size_t n, const double mean, const double sd); double gsl_stats_int_kurtosis_m_sd (const int data[], const size_t stride, const size_t n, const double mean, const double sd); double gsl_stats_int_lag1_autocorrelation_m (const int data[], const size_t stride, const size_t n, const double mean); double gsl_stats_int_covariance_m (const int data1[], const size_t stride1,const int data2[], const size_t stride2, const size_t n, const double mean1, const double mean2); double gsl_stats_int_pvariance (const int data1[], const size_t stride1, const size_t n1, const int data2[], const size_t stride2, const size_t n2); double gsl_stats_int_ttest (const int data1[], const size_t stride1, const size_t n1, const int data2[], const size_t stride2, const size_t n2); int gsl_stats_int_max (const int data[], const size_t stride, const size_t n); int gsl_stats_int_min (const int data[], const size_t stride, const size_t n); void gsl_stats_int_minmax (int * min, int * max, const int data[], const size_t stride, const size_t n); size_t gsl_stats_int_max_index (const int data[], const size_t stride, const size_t n); size_t gsl_stats_int_min_index (const int data[], const size_t stride, const size_t n); void gsl_stats_int_minmax_index (size_t * min_index, size_t * max_index, const int data[], const size_t stride, const size_t n); double gsl_stats_int_median_from_sorted_data (const int sorted_data[], const size_t stride, const size_t n) ; double gsl_stats_int_quantile_from_sorted_data (const int sorted_data[], const size_t stride, const size_t n, const double f) ; __END_DECLS #endif /* __GSL_STATISTICS_INT_H__ */