Contents

class Array
  # Find the numeric mean. nils are ignored.
  def mean
    ary = self.to_a.compact
    if defined?(NMatrix) # Prefer the C version.
      ary.to_nm.mean[0]
    else                 # Fall back to Ruby.
      ary.inject(0) { |x,i| x + i } / ary.size.to_f
    end
  end


  # Find the single median or the mean of medians. nils are ignored.
  def median
    ary = self.to_a.compact.sort.uniq
    return nil if ary.empty?
    if ary.size % 2 == 1 # Even number of entries
      ary[(ary.size-1) / 2]
    else            # Odd number of entries
      idx = (ary.size-1) / 2
      (ary[idx] + ary[idx+1]) / 2.0
    end
  end


  # Note: Not guaranteed to be the fastest way to find the modes, but I didn't see this function
  # as a bottleneck worth a ton of effort. --JW
  def modes
    ary = self.sort.compact
    return nil if ary.empty?
    h = {}
    ary.each do |k|
      if h.has_key?(k)
        h[k] += 1
      else
        h[k] = 1
      end
    end

    return nil if h.keys.empty?

    max_key = h.keys.first

    h.each_pair do |k,count|
      next if count.nil? || h[max_key].nil?

      max_key = k if count > h[max_key]
    end

    mode_count = h[max_key]
    h.select { |k,v| v == mode_count }.keys.sort
  end
end

Version data entries

6 entries across 6 versions & 1 rubygems

Version	Path
nyaplot-0.1.6	lib/nyaplot/monkeys.rb
nyaplot-0.1.5	lib/nyaplot/monkeys.rb
nyaplot-0.1.4	lib/nyaplot/monkeys.rb
nyaplot-0.2.0.rc1	lib/nyaplot/monkeys.rb
nyaplot-0.1.3	lib/nyaplot/monkeys.rb
nyaplot-0.1.2	lib/nyaplot/monkeys.rb