require(File.expand_path(File.dirname(__FILE__)+'/helpers_tests.rb'))
class StatsampleStatisicsTestCase < MiniTest::Unit::TestCase

  def initialize(*args)
    super
  end
  def test_p_using_cdf
    assert_equal(0.25, Statsample::Test.p_using_cdf(0.25, tails=:left))
    assert_equal(0.75, Statsample::Test.p_using_cdf(0.25, tails=:right))
    assert_equal(0.50, Statsample::Test.p_using_cdf(0.25, tails=:both))
    assert_equal(1, Statsample::Test.p_using_cdf(0.50, tails=:both))
    assert_equal(0.05, Statsample::Test.p_using_cdf(0.025, tails=:both))
    assert_in_delta(0.05, Statsample::Test.p_using_cdf(0.975, tails=:both),0.0001)
    
  end
  def test_recode_repeated
    a=%w{a b c c d d d e}
    exp=["a","b","c_1","c_2","d_1","d_2","d_3","e"]
    assert_equal(exp,a.recode_repeated)
  end
  def test_is_number
    assert("10".is_number?)
    assert("-10".is_number?)
    assert("0.1".is_number?)
    assert("-0.1".is_number?)
    assert("10e3".is_number?)
    assert("10e-3".is_number?)
    assert(!"1212-1212-1".is_number?)
    assert(!"a10".is_number?)
    assert(!"".is_number?)

  end
  def test_estimation_mean
    v=([42]*23+[41]*4+[36]*1+[32]*1+[29]*1+[27]*2+[23]*1+[19]*1+[16]*2+[15]*2+[14,11,10,9,7]+ [6]*3+[5]*2+[4,3]).to_vector(:scale)
    assert_equal(50,v.size)
    assert_equal(1471,v.sum())
    #limits=Statsample::SRS.mean_confidence_interval_z(v.mean(), v.sds(), v.size,676,0.80)
  end
  def test_estimation_proportion
    # total
    pop=3042
    sam=200
    prop=0.19
    assert_in_delta(81.8, Statsample::SRS.proportion_total_sd_ep_wor(prop, sam, pop), 0.1)

    # confidence limits
    pop=500
    sam=100
    prop=0.37
    a=0.95
    l= Statsample::SRS.proportion_confidence_interval_z(prop, sam, pop, a)
    assert_in_delta(0.28,l[0],0.01)
    assert_in_delta(0.46,l[1],0.01)
  end
  def test_ml
    if(true)
      #real=[1,1,1,1].to_vector(:scale)

      #pred=[0.0001,0.0001,0.0001,0.0001].to_vector(:scale)
      # puts  Statsample::Bivariate.maximum_likehood_dichotomic(pred,real)

    end
  end


  def test_simple_linear_regression
    a=[1,2,3,4,5,6].to_vector(:scale)
    b=[6,2,4,10,12,8].to_vector(:scale)
    reg = Statsample::Regression::Simple.new_from_vectors(a,b)
    assert_in_delta((reg.ssr+reg.sse).to_f,reg.sst,0.001)
    assert_in_delta(Statsample::Bivariate.pearson(a,b),reg.r,0.001)
    assert_in_delta(2.4,reg.a,0.01)
    assert_in_delta(1.314,reg.b,0.001)
    assert_in_delta(0.657,reg.r,0.001)
    assert_in_delta(0.432,reg.r2,0.001)
  end
end
