dualScale (version 0.9.1)

dsMC: Dual Scaling for Multiple Choice Data

Description

The traditional analysis

Usage

dsMC(X, dim = NA)

Arguments

X

The data

dim

is the number of components one wishes to extract. If no value is provided, the entire components will be extracted.

Value

Tot.Op

Total Number of Options

Proj.Op_O

Projected options weights

Proj.Su_O

Projected subject scores

Inf_O

Distribution of information over components

ItemStat_O

Item statistics

Out_O

Results

Rij_O

Inter-item correlation

Norm.Op_O

Normed options weights

Norm.Su_O

Normed subject scores

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