Class: Statsample::Anova::OneWayWithVectors
- Defined in:
- lib/statsample/anova/oneway.rb
Overview
One Way Anova with vectors Example:
v1 = Daru::Vector.new([2,3,4,5,6])
v2 = Daru::Vector.new([3,3,4,5,6])
v3 = Daru::Vector.new([5,3,1,5,6])
anova=Statsample::Anova::OneWayWithVectors.new([v1,v2,v3])
anova.f
=> 0.0243902439024391
anova.probability
=> 0.975953044203438
anova.sst
=> 32.9333333333333
Instance Attribute Summary collapse
-
#contrasts ⇒ Object
readonly
Array with stored contrasts.
-
#summary_contrasts ⇒ Object
Show on summary of contrasts.
-
#summary_descriptives ⇒ Object
Show on summary descriptives for vectors.
-
#summary_levene ⇒ Object
Show on summary Levene test.
Attributes inherited from OneWay
#df_den, #df_num, #df_total, #ms_den, #ms_num, #ms_total, #name, #name_denominator, #name_numerator, #ss_den, #ss_num, #ss_total
Instance Method Summary collapse
-
#contrast(opts = Hash.new) ⇒ Object
Generates and store a contrast.
-
#df_bg ⇒ Object
Degrees of freedom between groups.
-
#df_wg ⇒ Object
Degrees of freedom within groups.
-
#initialize(*args) ⇒ OneWayWithVectors
constructor
A new instance of OneWayWithVectors.
- #k ⇒ Object
- #levene ⇒ Object
-
#n ⇒ Object
Total number of cases.
-
#report_building(builder) ⇒ Object
:nodoc:.
-
#ssbg ⇒ Object
Sum of squares between groups.
-
#sswg ⇒ Object
Sum of squares within groups.
-
#total_mean ⇒ Object
Total mean.
Methods inherited from OneWay
#f, #probability, #report_building_table
Methods included from Summarizable
Constructor Details
#initialize(*args) ⇒ OneWayWithVectors
Returns a new instance of OneWayWithVectors.
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# File 'lib/statsample/anova/oneway.rb', line 91 def initialize(*args) if args[0].is_a? Array @vectors = args.shift else @vectors = args.find_all {|v| v.is_a? Daru::Vector} opts = args.find {|v| v.is_a? Hash} end opts||=Hash.new opts_default={:name=>_("Anova One-Way"), :name_numerator=>_("Between Groups"), :name_denominator=>_("Within Groups"), :summary_descriptives=>false, :summary_levene=>true, :summary_contrasts=>true } @opts=opts_default.merge(opts).merge(:ss_num=>ssbg, :ss_den=>sswg, :df_num=>df_bg, :df_den=>df_wg) @contrasts=[] super(@opts) end |
Instance Attribute Details
#contrasts ⇒ Object (readonly)
Array with stored contrasts
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# File 'lib/statsample/anova/oneway.rb', line 89 def contrasts @contrasts end |
#summary_contrasts ⇒ Object
Show on summary of contrasts
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# File 'lib/statsample/anova/oneway.rb', line 87 def summary_contrasts @summary_contrasts end |
#summary_descriptives ⇒ Object
Show on summary descriptives for vectors
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# File 'lib/statsample/anova/oneway.rb', line 85 def summary_descriptives @summary_descriptives end |
#summary_levene ⇒ Object
Show on summary Levene test
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# File 'lib/statsample/anova/oneway.rb', line 83 def summary_levene @summary_levene end |
Instance Method Details
#contrast(opts = Hash.new) ⇒ Object
Generates and store a contrast. Options should be provided as a hash [:c]=>contrast vector [:c1 - :c2]=>index for automatic construction of contrast [:name]=>contrast name
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# File 'lib/statsample/anova/oneway.rb', line 120 def contrast(opts=Hash.new) name=opts[:name] || _("Contrast for %s") % @name opts=opts.merge({:vectors=>@vectors, :name=>name}) c=Statsample::Anova::Contrast.new(opts) @contrasts.push(c) c end |
#df_bg ⇒ Object
Degrees of freedom between groups
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# File 'lib/statsample/anova/oneway.rb', line 155 def df_bg k-1 end |
#df_wg ⇒ Object
Degrees of freedom within groups
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# File 'lib/statsample/anova/oneway.rb', line 148 def df_wg @dk_wg||=n-k end |
#k ⇒ Object
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# File 'lib/statsample/anova/oneway.rb', line 151 def k @k||=@vectors.size end |
#levene ⇒ Object
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# File 'lib/statsample/anova/oneway.rb', line 128 def levene Statsample::Test.levene(@vectors, :name=>_("Test of Homogeneity of variances (Levene)")) end |
#n ⇒ Object
Total number of cases
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# File 'lib/statsample/anova/oneway.rb', line 159 def n @vectors.inject(0){|a,v| a+v.size} end |
#report_building(builder) ⇒ Object
:nodoc:
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# File 'lib/statsample/anova/oneway.rb', line 162 def report_building(builder) # :nodoc: builder.section(:name=>@name) do |s| if summary_descriptives s.table(:name=>_("Descriptives"),:header=>%w{Name N Mean SD Min Max}.map {|v| _(v)}) do |t| @vectors.each do |v| t.row [v.name, v.n_valid, "%0.4f" % v.mean, "%0.4f" % v.sd, "%0.4f" % v.min, "%0.4f" % v.max] end end end if summary_levene s.parse_element(levene) end report_building_table(s) if summary_contrasts and @contrasts.size>0 @contrasts.each do |c| s.parse_element(c) end end end end |
#ssbg ⇒ Object
Sum of squares between groups
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# File 'lib/statsample/anova/oneway.rb', line 141 def ssbg m=total_mean @vectors.inject(0) do |total,vector| total + (vector.mean-m).square * vector.size end end |
#sswg ⇒ Object
Sum of squares within groups
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# File 'lib/statsample/anova/oneway.rb', line 137 def sswg @sswg||=@vectors.inject(0) {|total,vector| total+vector.ss } end |
#total_mean ⇒ Object
Total mean
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# File 'lib/statsample/anova/oneway.rb', line 132 def total_mean sum=@vectors.inject(0){|a,v| a+v.sum} sum.quo(n) end |