GSL::Stats.mean(data)
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::Stats.variance(data)
GSL::Vector#variance
GSL::Stats.variance_m(data, mean)
GSL::Vector#variance_m(mean)
GSL::Stats.sd(v)
GSL::Vector#sd
The following is a list of other methods defined both as singleton methods of
the GSL::Stats
module and methods of the GSL::Vector
class.
See the GSL reference for details.
These are singleton methods of the GSL::Stats
module.
#!/usr/bin/env ruby require 'gsl' ary = [17.2, 18.1, 16.5, 18.3, 12.6] data = Vector.new(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);