Class: Statsample::Crosstab
- Includes:
- Summarizable
- Defined in:
- lib/statsample/crosstab.rb
Overview
Class to create crosstab of data With this, you can create reports and do chi square test The first vector will be at rows and the second will the the columns
Instance Attribute Summary collapse
-
#column_label ⇒ Object
Returns the value of attribute column_label.
-
#name ⇒ Object
Returns the value of attribute name.
-
#percentage_column ⇒ Object
Returns the value of attribute percentage_column.
-
#percentage_row ⇒ Object
Returns the value of attribute percentage_row.
-
#percentage_total ⇒ Object
Returns the value of attribute percentage_total.
-
#row_label ⇒ Object
Returns the value of attribute row_label.
-
#v_cols ⇒ Object
readonly
Returns the value of attribute v_cols.
-
#v_rows ⇒ Object
readonly
Returns the value of attribute v_rows.
Instance Method Summary collapse
-
#chi_square ⇒ Object
Chi square, based on expected and real matrix.
- #cols_empty_hash ⇒ Object
- #cols_names ⇒ Object
- #cols_total ⇒ Object
- #frequencies ⇒ Object
- #frequencies_by_col ⇒ Object
- #frequencies_by_row ⇒ Object
-
#initialize(v1, v2, opts = Hash.new) ⇒ Crosstab
constructor
A new instance of Crosstab.
-
#matrix_expected ⇒ Object
Useful to obtain chi square.
- #report_building(builder) ⇒ Object
- #rows_names ⇒ Object
- #rows_total ⇒ Object
- #table_percentage(generator, type) ⇒ Object
- #to_matrix ⇒ Object
Methods included from Summarizable
Constructor Details
#initialize(v1, v2, opts = Hash.new) ⇒ Crosstab
Returns a new instance of Crosstab.
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# File 'lib/statsample/crosstab.rb', line 10 def initialize(v1, v2, opts=Hash.new) #raise ArgumentError, "Both arguments should be Vectors" unless v1.is_a? Statsample::Vector and v2.is_a? Statsample::Vector raise ArgumentError, "Vectors should be the same size" unless v1.size==v2.size @v_rows, @v_cols=Statsample.only_valid_clone(v1.to_vector,v2.to_vector) @cases=@v_rows.size @row_label=v1.name @column_label=v2.name @name=nil @percentage_row = @percentage_column = @percentage_total=false opts.each{|k,v| self.send("#{k}=",v) if self.respond_to? k } @name||=_("Crosstab %s - %s") % [@row_label, @column_label] end |
Instance Attribute Details
#column_label ⇒ Object
Returns the value of attribute column_label.
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# File 'lib/statsample/crosstab.rb', line 9 def column_label @column_label end |
#name ⇒ Object
Returns the value of attribute name.
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# File 'lib/statsample/crosstab.rb', line 9 def name @name end |
#percentage_column ⇒ Object
Returns the value of attribute percentage_column.
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# File 'lib/statsample/crosstab.rb', line 9 def percentage_column @percentage_column end |
#percentage_row ⇒ Object
Returns the value of attribute percentage_row.
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# File 'lib/statsample/crosstab.rb', line 9 def percentage_row @percentage_row end |
#percentage_total ⇒ Object
Returns the value of attribute percentage_total.
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# File 'lib/statsample/crosstab.rb', line 9 def percentage_total @percentage_total end |
#row_label ⇒ Object
Returns the value of attribute row_label.
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# File 'lib/statsample/crosstab.rb', line 9 def row_label @row_label end |
#v_cols ⇒ Object (readonly)
Returns the value of attribute v_cols.
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# File 'lib/statsample/crosstab.rb', line 8 def v_cols @v_cols end |
#v_rows ⇒ Object (readonly)
Returns the value of attribute v_rows.
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# File 'lib/statsample/crosstab.rb', line 8 def v_rows @v_rows end |
Instance Method Details
#chi_square ⇒ Object
Chi square, based on expected and real matrix
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# File 'lib/statsample/crosstab.rb', line 69 def chi_square require 'statsample/test' Statsample::Test.chi_square(self.to_matrix, matrix_expected) end |
#cols_empty_hash ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 87 def cols_empty_hash cols_names.inject({}) {|a,x| a[x]=0;a} end |
#cols_names ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 27 def cols_names @v_cols.factors.sort end |
#cols_total ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 33 def cols_total @v_cols.frequencies end |
#frequencies ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 37 def frequencies base=rows_names.inject([]){|s,row| s+=cols_names.collect{|col| [row,col]} }.inject({}) {|s,par| s[par]=0 s } base.update(Statsample::vector_cols_matrix(@v_rows,@v_cols).to_a.to_vector.frequencies) end |
#frequencies_by_col ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 61 def frequencies_by_col f=frequencies cols_names.inject({}){|sc,col| sc[col]=rows_names.inject({}) {|sr,row| sr[row]=f[[row,col]]; sr} sc } end |
#frequencies_by_row ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 54 def frequencies_by_row f=frequencies rows_names.inject({}){|sr,row| sr[row]=cols_names.inject({}) {|sc,col| sc[col]=f[[row,col]]; sc} sr } end |
#matrix_expected ⇒ Object
Useful to obtain chi square
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# File 'lib/statsample/crosstab.rb', line 74 def matrix_expected rn=rows_names cn=cols_names rt=rows_total ct=cols_total t=@v_rows.size m=rn.collect{|row| cn.collect{|col| (rt[row]*ct[col]).quo(t) } } Matrix.rows(m) end |
#report_building(builder) ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 90 def report_building(builder) builder.section(:name=>@name) do |generator| fq=frequencies rn=rows_names cn=cols_names total=0 total_cols=cols_empty_hash generator.text "Chi Square: #{chi_square}" generator.text(_("Rows: %s") % @row_label) unless @row_label.nil? generator.text(_("Columns: %s") % @column_label) unless @column_label.nil? t=ReportBuilder::Table.new(:name=>@name+" - "+_("Raw"), :header=>[""]+cols_names.collect {|c| @v_cols.labeling(c)}+[_("Total")]) rn.each do |row| total_row=0 t_row=[@v_rows.labeling(row)] cn.each do |col| data=fq[[row,col]] total_row+=fq[[row,col]] total+=fq[[row,col]] total_cols[col]+=fq[[row,col]] t_row.push(data) end t_row.push(total_row) t.row(t_row) end t.hr t_row=[_("Total")] cn.each do |v| t_row.push(total_cols[v]) end t_row.push(total) t.row(t_row) generator.parse_element(t) if(@percentage_row) table_percentage(generator,:row) end if(@percentage_column) table_percentage(generator,:column) end if(@percentage_total) table_percentage(generator,:total) end end end |
#rows_names ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 24 def rows_names @v_rows.factors.sort end |
#rows_total ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 30 def rows_total @v_rows.frequencies end |
#table_percentage(generator, type) ⇒ Object
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# File 'lib/statsample/crosstab.rb', line 138 def table_percentage(generator,type) fq=frequencies cn=cols_names rn=rows_names rt=rows_total ct=cols_total type_name=case type when :row then _("% Row") when :column then _("% Column") when :total then _("% Total") end t=ReportBuilder::Table.new(:name=>@name+" - "+_(type_name), :header=>[""]+cols_names.collect {|c| @v_cols.labeling(c) } + [_("Total")]) rn.each do |row| t_row=[@v_rows.labeling(row)] cn.each do |col| total=case type when :row then rt[row] when :column then ct[col] when :total then @cases end data = sprintf("%0.2f%%", fq[[row,col]]*100.0/ total ) t_row.push(data) end total=case type when :row then rt[row] when :column then @cases when :total then @cases end t_row.push(sprintf("%0.2f%%", rt[row]*100.0/total)) t.row(t_row) end t.hr t_row=[_("Total")] cn.each{|col| total=case type when :row then @cases when :column then ct[col] when :total then @cases end t_row.push(sprintf("%0.2f%%", ct[col]*100.0/total)) } t_row.push("100%") t.row(t_row) generator.parse_element(t) end |