Method: Statsample::Factor::ParallelAnalysis#compute

Defined in:
lib/statsample/factor/parallelanalysis.rb

#compute ⇒ Object

Perform calculation. Shouldn’t be called directly for the user


122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
 
# File 'lib/statsample/factor/parallelanalysis.rb', line 122

def compute
  @original=Statsample::Bivariate.send(matrix_method, @ds).eigenvalues unless no_data
  @ds_eigenvalues=Daru::DataFrame.new({}, order: (1..@n_variables).map{|v| ("ev_%05d" % v).to_sym})
  
  if bootstrap_method==:parameter or bootstrap_method==:random
    rng = Distribution::Normal.rng
  end
  
  @iterations.times do |i|
    begin
      puts "#{@name}: Iteration #{i}" if $DEBUG or debug
      # Create a dataset of dummy values
      ds_bootstrap = Daru::DataFrame.new({}, order: @ds.vectors, index: @n_cases)
      
      @fields.each do |f|
        if bootstrap_method==:random
          ds_bootstrap[f] = Daru::Vector.new(@n_cases.times.map {|c| rng.call})
        elsif bootstrap_method==:data
          ds_bootstrap[f] = ds[f].sample_with_replacement(@n_cases)
        else
          raise "bootstrap_method doesn't recogniced"
        end
      end

      matrix=Statsample::Bivariate.send(matrix_method, ds_bootstrap)
      matrix=matrix.to_gsl if @use_gsl
      if smc
          smc_v=matrix.inverse.diagonal.map{|ii| 1-(1.quo(ii))}
          smc_v.each_with_index do |v,ii| 
            matrix[ii,ii]=v
          end
      end
      ev=matrix.eigenvalues
      @ds_eigenvalues.add_row(ev)
    rescue Statsample::Bivariate::Tetrachoric::RequerimentNotMeet => e
      puts "Error: #{e}" if $DEBUG
      redo
    end
  end
end