#include #include int main(void) { double data[5] = {17.2, 18.1, 16.5, 18.3, 12.6}; double mean, variance, largest, smallest, sd, rms, sd_mean, median, skew, kurtosis; gsl_rstat_workspace *rstat_p = gsl_rstat_alloc(); size_t i, n; /* add data to rstat accumulator */ for (i = 0; i < 5; ++i) gsl_rstat_add(data[i], rstat_p); mean = gsl_rstat_mean(rstat_p); variance = gsl_rstat_variance(rstat_p); largest = gsl_rstat_max(rstat_p); smallest = gsl_rstat_min(rstat_p); median = gsl_rstat_median(rstat_p); sd = gsl_rstat_sd(rstat_p); sd_mean = gsl_rstat_sd_mean(rstat_p); skew = gsl_rstat_skew(rstat_p); rms = gsl_rstat_rms(rstat_p); kurtosis = gsl_rstat_kurtosis(rstat_p); n = gsl_rstat_n(rstat_p); printf ("The dataset is %g, %g, %g, %g, %g\n", data[0], data[1], data[2], data[3], data[4]); printf ("The sample mean is %g\n", mean); printf ("The estimated variance is %g\n", variance); printf ("The largest value is %g\n", largest); printf ("The smallest value is %g\n", smallest); printf( "The median is %g\n", median); printf( "The standard deviation is %g\n", sd); printf( "The root mean square is %g\n", rms); printf( "The standard devation of the mean is %g\n", sd_mean); printf( "The skew is %g\n", skew); printf( "The kurtosis %g\n", kurtosis); printf( "There are %zu items in the accumulator\n", n); gsl_rstat_reset(rstat_p); n = gsl_rstat_n(rstat_p); printf( "There are %zu items in the accumulator\n", n); gsl_rstat_free(rstat_p); return 0; }