Last data update: 2014.03.03
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R: Dual Scaling for Multiple Choice Data
Dual Scaling for Multiple Choice Data
Description
The traditional analysis
Usage
dsMC(X, dim = NA)
Arguments
X |
The data
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dim |
is the number of components one wishes to extract. If no value is provided, the entire components will be extracted.
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Value
Tot.Op |
Total Number of Options
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Proj.Op_O |
Projected options weights
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Proj.Su_O |
Projected subject scores
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Inf_O |
Distribution of information over components
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ItemStat_O |
Item statistics
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Out_O |
Results
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Rij_O |
Inter-item correlation
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Norm.Op_O |
Normed options weights
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Norm.Su_O |
Normed subject scores
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References
Nishisato, S. (1980). Analysis of categorical data: Dual scaling and its applications.
Toronto: University of Toronto Press.
See Also
dsFC , summary.ds , plot.ds
Examples
data(singapore)
dsMC(singapore)
pato<-dsMC(singapore)
pato$Out_O
Results
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