principalaxis.rb in statsample-2.0.0

- old
+ new

@@ -4,12 +4,12 @@
   #
   # For PCA, use Statsample::Factor::PCA
   # 
   # == Usage:
   #   require 'statsample'
-  #   a=[2.5, 0.5, 2.2, 1.9, 3.1, 2.3, 2.0, 1.0, 1.5, 1.1].to_numeric
-  #   b=[2.4,0.7,2.9,2.2,3.0,2.7,1.6,1.1,1.6,0.9].to_numeric
-  #   ds={'a'=>a,'b'=>b}.to_dataset
+  #   a = Daru::Vector.new([2.5, 0.5, 2.2, 1.9, 3.1, 2.3, 2.0, 1.0, 1.5, 1.1])
+  #   b = Daru::Vector.new([2.4,0.7,2.9,2.2,3.0,2.7,1.6,1.1,1.6,0.9])
+  #   ds= Daru::DataFrame.new({:a => a,:b => b})
   #   cor_matrix=Statsample::Bivariate.correlation_matrix(ds)
   #   pa=Statsample::Factor::PrincipalAxis.new(cor_matrix)
   #   pa.iterate(1)
   #   pa.m
   #   => 1