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

##########################################################################################
# Copyright © 2013 Rodrigo Botafogo. All Rights Reserved. Permission to use, copy, modify, 
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require 'rubygems'
require "test/unit"
require 'shoulda'

require 'env'
require 'scicom'

class SciComTest < Test::Unit::TestCase

  context "R environment" do

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

    setup do 
      
    end

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

    should "download the proper package" do

      R.install__package("AssetPricing")
      R.library("AssetPricing")

      R.install__package("AppliedPredictiveModeling")
      R.library("AppliedPredictiveModeling")
      
      ### Section 3.1 Case Study: Cell Segmentation in High-Content Screening
      
      R.data('segmentationOriginal')
      seg = R.segmentationOriginal
      segTrain = seg.subset(Case: "Train")
      segTrainX = segTrain[true, -(1..3)]
      segTrainClass = segTrain.Class
      segTrainClass.pp

    end

  end

end