sdi.rb

#!/usr/bin/env ruby

#
# Compute Shannon Diversity Index from a CSV file
# Input has samples as columns, variables as rows
#
#
# (c) 2014 Austin G. Davis-Richardson
# LICENSE: MITv3

#
# Usage
# ruby sdi.rb input.txt
#

#
# Example Input
#
# ID,cluster-1,...,cluster-n
# sample-1,10,...,55
# ...
# sample-n,20,...,39
#

SEP = ','

##
# Calculate SDI given an input stream to a CSV file
#
def sdi(handle)
  input_file = ARGV[0]

  id_to_measurements = Hash.new

  header = handle.gets # skip header
  header = header.strip.split(SEP)
  handle.each do |line|
    line = line.strip.split(SEP)
    id, measurements = line[0], line[1..-1].map(&:to_f)
    id_to_measurements[id] = measurements
  end

  # Divide by column total
  id_to_measurements.map do |id, measurements|
    total = measurements.inject(:+)
    measurements.map! { |x| x/total }
  end

  # The SDI Formula
  id_to_measurements.map do |id, measurements|
    [id, measurements.map { |x| -1*x*Math.log(x) }.reject { |x| x.nan? }.inject(:+)]
  end
end

##
# gogogo gl hf
#
def main
  id_to_sdi = File.open(ARGV[0]) { |stream| sdi(stream) }
  puts "sample_id,sdi"
  id_to_sdi.map do |id, sdi|
    puts "#{id},#{sdi}"
  end
end


if $0 == __FILE__
  main
end

__END__
-,a,b,c
A,1,2,3
B,2,3,4
C,4,5,6