Method: Statsample::DominanceAnalysis#initialize
- Defined in:
- lib/statsample/dominanceanalysis.rb
#initialize(input, dependent, opts = Hash.new) ⇒ DominanceAnalysis
Creates a new DominanceAnalysis object Parameters:
-
input: A Matrix or Dataset object
-
dependent: Name of dependent variable. Could be an array, if you want to
do an Multivariate Regression Analysis. If nil, set to all fields on input, except criteria
102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 |
# File 'lib/statsample/dominanceanalysis.rb', line 102 def initialize(input, dependent, opts=Hash.new) @build_from_dataset=false if dependent.is_a? Array @regression_class= MULTIVARIATE_REGRESSION_CLASS @method_association=:r2yx else @regression_class= UNIVARIATE_REGRESSION_CLASS @method_association=:r2 end @name=nil opts.each{|k,v| self.send("#{k}=",v) if self.respond_to? k } @dependent=dependent @dependent=[@dependent] unless @dependent.is_a? Array if input.kind_of? Daru::DataFrame @predictors ||= input.vectors.to_a - @dependent @ds=input @matrix=Statsample::Bivariate.correlation_matrix(input) @cases=Statsample::Bivariate.min_n_valid(input) elsif input.is_a? ::Matrix @predictors ||= input.fields-@dependent @ds=nil @matrix=input else raise ArgumentError.new("You should use a Matrix or a Dataset") end @name=_("Dominance Analysis: %s over %s") % [ @predictors.flatten.join(",") , @dependent.join(",")] if @name.nil? @models=nil @models_data=nil @general_averages=nil end |