Module: Statsample::Test

Extended by:
Test
Included in:
Test, T::OneSample, T::TwoSamplesIndependent
Defined in:
lib/statsample/test.rb,
lib/statsample/test/t.rb,
lib/statsample/test/levene.rb,
lib/statsample/test/umannwhitney.rb

Overview

Module for several statistical tests

Defined Under Namespace

Modules: T Classes: Levene, UMannWhitney

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.chi_square(real, expected) ⇒ Object 



31
32
33
34
35
36
37
38
39
40
41
42
 
# File 'lib/statsample/test.rb', line 31

def chi_square(real,expected)
  sum=0
  (0...real.row_size).each {|row_i|
    (0...real.column_size).each {|col_i|
      val=((real[row_i,col_i].to_f - expected[row_i,col_i].to_f)**2) / expected[row_i,col_i].to_f
      # puts "Real: #{real[row_i,col_i].to_f} ; esperado: #{expected[row_i,col_i].to_f}"
# puts "Diferencial al cuadrado: #{(real[row_i,col_i].to_f - expected[row_i,col_i].to_f)**2}"
      sum+=val
    }
  }
  sum
end

.levene(input, opts = Hash.new) ⇒ Object

Shorthand for Statsample::Test::Levene.new



56
57
58
 
# File 'lib/statsample/test.rb', line 56

def levene(input, opts=Hash.new)
  Statsample::Test::Levene.new(input,opts)
end

.t_one_sample(vector, opts = Hash.new) ⇒ Object

Shorthand for Statsample::Test::T::OneSample.new



47
48
49
 
# File 'lib/statsample/test.rb', line 47

def t_one_sample(vector, opts=Hash.new)
  Statsample::Test::T::OneSample.new(vector,opts)
end

.t_two_samples_independent(v1, v2, opts = Hash.new) ⇒ Object

Shorthand for Statsample::Test::T::TwoSamplesIndependent.new



51
52
53
 
# File 'lib/statsample/test.rb', line 51

def t_two_samples_independent(v1,v2, opts=Hash.new)
  Statsample::Test::T::TwoSamplesIndependent.new(v1,v2,opts)
end

.u_mannwhitney(v1p, v2p) ⇒ Object 



43
44
45
 
# File 'lib/statsample/test.rb', line 43

def u_mannwhitney(v1p,v2p)
  Statsample::Test::UMannWhitney.new(v1p,v2p)
end

Instance Method Details

#p_using_cdf(cdf, tails = :both) ⇒ Object

Returns probability of getting a value lower or higher than sample, using cdf and number of tails.

  • For one tail left, return the cdf

  • For one tail right, return 1-cdf

  • For two tails, returns 2*right_tail(cdf.abs)



14
15
16
17
18
19
20
21
22
23
24
25
26
27
 
# File 'lib/statsample/test.rb', line 14

def p_using_cdf(cdf, tails=:both)
  tails=:both if tails==2
  tails=:right if tails==1 or tails==:positive
  tails=:left if tails==:negative
  case tails
    when :left then cdf
    when :right then 1-cdf
    when :both 
      if cdf>=0.5
        cdf=1-cdf
      end
      2*cdf
  end
end