# -*- coding: utf-8 -*-

##########################################################################################
# Copyright © 2013 Rodrigo Botafogo. All Rights Reserved. Permission to use, copy, modify, 
# and distribute this software and its documentation, without fee and without a signed 
# licensing agreement, is hereby granted, provided that the above copyright notice, this 
# paragraph and the following two paragraphs appear in all copies, modifications, and 
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require 'rubygems'
require "test/unit"
require 'shoulda'

require '../config' if @platform == nil
require 'scicom'

class SciComTest < Test::Unit::TestCase

  context "R environment" do

    #--------------------------------------------------------------------------------------
    #
    #--------------------------------------------------------------------------------------

    setup do 

    end

    #--------------------------------------------------------------------------------------
    #
    #--------------------------------------------------------------------------------------

    should "Read file and apply linear model to dataset" do

        # This dataset comes from Baseball-Reference.com.
        baseball = R.read__csv("baseball.csv")
        # convert the second column of dataframe 'baseball' to a Ruby vector
        # arr = baseball[[2]].get
        # arr.print
        # Lets look at the data available for Momeyball.
        # (baseball.Year < R.d(2002)).pp
        moneyball = baseball.subset(baseball.Year < 2002)

        # Let's see if we can predict the number of wins, by looking at
        # runs allowed (RA) and runs scored (RS).  RD is the runs difference.
        # We are making a linear model for predicting wins (W) based on RD
        moneyball.RD = moneyball.RS - moneyball.RA
        wins_reg = R.lm("W ~ RD", data: moneyball)
        wins_reg.summary.pp

    end

  end

end