Created
July 9, 2012 19:03
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Shannon Diversity Index
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#!/usr/bin/env ruby | |
# | |
# Compute Shannon Diversity Index from a CSV file | |
# Input has samples as columns, variables as rows | |
# | |
# | |
# 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 |
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