R: Summarizing Dual Scaling Analysis
summary.ds | R Documentation |
Summarizing Dual Scaling Analysis
Description
This generic function is used to produce results of several aaplications
of dsFC and dsMC.
Usage
## S3 method for class 'ds'
summary(object,...)
Arguments
object |
Dual scaling object from dsMC or dsFC.
|
... |
Arguments to be passed to methods
|
Details
Available results available from different applications.
Value
For Ordinary Dual Scaling (dsMC)
IniDat |
Initial Data
|
ItONa |
Item options labels
|
N.Comp |
Total number of Components
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N.Item |
Total number of items
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N.Op |
Number of options of each item
|
N.Ss |
Total number of subjects
|
SubNa |
Subject labels
|
Tot.Op |
Total number of options
|
Inf_O |
Distribution of information over components
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ItemStat_O |
Item statistics
|
Out_O |
Results obtained
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Rij_O |
Inter item correlation
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Norm.Op_O |
Normed option weights
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Norm.Su_O |
Normed subjects scores
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Proj.Op_O |
Projected option weights
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Proj.Su_O |
Projected subjects scores
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For Force Classification Dual Scaling (dsFC). (NOTE: '_B' and '_C' values also available).
IniDat |
Initial data
|
CramerV |
Cramer's coefficient V
|
CritItem |
The criterion item for forced classification
|
ItONa |
Item options labels
|
Match |
Match-missmatch tables
|
N.Comp |
Total number of components
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N.Item |
Total number of items
|
NSs |
Total number of subjects
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NOpt |
Number of options of each item
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Predict |
Petcentage of correct classification
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SubNa |
Subject labels
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Tot.Op |
Total number of options
|
Inf_A |
Distribution of information over components
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ItemStat_A |
Item statistics
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Out_A |
Results obtained by forced classification in the criterion subspace
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Rij_A |
Inter item correlation
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Norm.Op_A |
Normed option weights
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Norm.Su_A |
Normed subject scores
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Proj.Op_A |
Projected option weights
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Proj.Su_A |
Projected subject scores
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Out_B |
Results obtained by ignoring the criterion item
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Out_C |
Results obtained in subspace complimentary to the criterion item
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Author(s)
Jose G. Clavel, Shizuhiko Nishisato and Antonio Pita
References
Nishisato S (2007). Multidimensional Nonlinear Descriptive Analysis. Chapman & Hall/CRC.
See Also
dsFC , dsMC , print.ds , plot.ds
Examples
data(singapore)
ole<-dsMC(singapore)
summary(ole)
ole$IniDa
Results
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