spec/statistics_spec.rb in darkhelmet-darkext-0.11.0 vs spec/statistics_spec.rb in darkhelmet-darkext-0.11.1

@@ -4,43 +4,39 @@
   before(:each) do
     @a = [1,2,3,4,5,6,7,8,9,10]
   end
 
   it 'should respond to all the new methods' do
-    Array.new.should respond_to(*%w(mean average ave harmonic_mean h_mean geometric_mean g_mean median histogram mode population_variance sample_variance population_deviation sample_deviation geometric_deviation gstddev sample ci standardize standardize! sum_of_squares normalize normalize!))
-    Darkext::Statistics.should respond_to(*%w(prob zscore p_val))
+    Array.new.should respond_to(*%w(mean average ave harmonic_mean h_mean geometric_mean g_mean median histogram mode standard_deviation stddev standard_deviation sample ci standardize standardize! sum_of_squares))
+    Darkext::Statistics.should respond_to(*%w(prob zscore))
     Darkext::Statistics::Regression.should respond_to(*%w(least_squares))
   end
 
-  it 'should return a Numeric from mean, harmonic_mean, geometric_mean, median, population_variance, sample_variance, population_deviation, sample_deviation, geometric_deviation, and sum_of_squares' do
-    %w(mean harmonic_mean geometric_mean median population_variance sample_variance population_deviation sample_deviation geometric_deviation sum_of_squares).each do |method|
+  it 'should return a Numeric from mean, harmonic_mean, geometric_mean, median, variance, standard_deviation, and sum_of_squares' do
+    %w(mean harmonic_mean geometric_mean median variance standard_deviation sum_of_squares).each do |method|
       @a.send(method.intern).should be_a_kind_of(Numeric)
     end
   end
 
   it 'should return a hash from histogram' do
     @a.histogram.should be_a_kind_of(Hash)
   end
 
-  it 'should return an array from mode, sample, ci, standardize, and normalize' do
-    %w(mode sample ci standardize normalize).each do |method|
+  it 'should return an array from mode, sample, ci, and standardize' do
+    %w(mode sample ci standardize).each do |method|
       @a.send(method.intern).should be_a_kind_of(Array)
     end
   end
 
-  it 'should raise and erro from mean, harmonic_mean, geometric_mean, median, mode, population_variance, sample_variance, population_deviation, sample_deviation, geometric_deviation, ci, and sum_of_squares if size is zero' do
+  it 'should raise and erro from mean, harmonic_mean, geometric_mean, median, mode, population_variance, sample_variance, standard_deviation, ci, and sum_of_squares if size is zero' do
     %w(mean harmonic_mean geometric_mean median mode population_variance sample_variance population_deviation sample_deviation geometric_deviation ci sum_of_squares).each do |method|
       lambda { Array.new.send(method.intern) }.should raise_error
     end
   end
 
   it 'should return a Numeric from prob and zscore' do
     Darkext::Statistics::prob(1).should be_a_kind_of(Numeric)
     Darkext::Statistics::zscore(0.9).should be_a_kind_of(Numeric)
-  end
-
-  it 'should return a Numeric from p_val' do
-    Darkext::Statistics::p_val(@a).should be_a_kind_of(Numeric)
   end
 
   it 'should return a Hash from least_squares' do
     Darkext::Statistics::Regression::least_squares([1,2,4,5],[2,3,6,10]).should be_a_kind_of(Hash)
   end