GSL::Stats::mean(v)
GSL::Vector#mean
Ex:
irb(main):001:0> require("gsl") => true irb(main):002:0> v = Vector[1..7] => GSL::Vector: [ 1.000e+00 2.000e+00 3.000e+00 4.000e+00 5.000e+00 6.000e+00 7.000e+00 ] irb(main):003:0> v.mean => 4.0 irb(main):004:0> Stats::mean(v) => 4.0
GSL::Vector#tss
self.mean
.
(Requires GSL 1.11)GSL::Vector#tss_m(mean)
GSL::Stats::variance_m(v[, mean])
GSL::Vector#variance_m([mean])
GSL::Stats::sd(v[, mean])
GSL::Vector#sd([mean])
GSL::Stats::tss(v[, mean])
GSL::Vector#tss([mean])
GSL::Stats::variance_with_fixed_mean(v, mean)
GSL::Vector#variance_with_fixed_mean(mean)
GSL::Stats::variance_with_fixed_mean(v, mean)
GSL::Vector#variance_with_fixed_mean(mean)
GSL::Stats::sd_with_fixed_mean(v, mean)
GSL::Vector#sd_with_fixed_mean(mean)
GSL::Stats::absdev(v[, mean])
GSL::Vector#absdev([mean])
GSL::Stats::skew(v[, mean, sd])
GSL::Vector#skew([mean, sd])
GSL::Stats::kurtosis(v[, mean, sd])
GSL::Vector#kurtosis([mean, sd])
GSL::Stats::lag1_autocorrelation(v[, mean])
GSL::Vector#lag1_autocorrelation([mean])
GSL::Stats::covariance(v1, v2)
GSL::Stats::covariance_m(v1, v2, mean1, mean2)
GSL::Stats::correlation(v1, v2)
GSL::Vector#wmean(w)
GSL::Vector#wvariance(w)
GSL::Vector#wsd(w)
GSL::Vector#wabsdev(w)
GSL::Vector#wskew(w)
GSL::Vector#wkurtosis(w)
GSL::Stats::max(data)
GSL::Vector#max
GSL::Stats::min(data)
GSL::Vector#min
GSL::Stats::minmax(data)
GSL::Vectorminmax
GSL::Stats::max_index(data)
GSL::Vector#max_index
GSL::Stats::min_index(data)
GSL::Vector#min_index
GSL::Stats::minmax_index(data)
GSL::Vector#minmax_index
GSL::Stats::median_from_sorted_data(v)
GSL::Vector#median_from_sorted_data
GSL::Vector#sort
should always be used first.GSL::Stats::quantile_from_sorted_data(v)
GSL::Vector#quantile_from_sorted_data
GSL::Vector#sort
should always be used first.#!/usr/bin/env ruby require 'gsl' ary = [17.2, 18.1, 16.5, 18.3, 12.6] data = Vector.alloc(ary) mean = data.mean() variance = data.stats_variance() largest = data.stats_max() smallest = data.stats_min() 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);