dsCHECK: Transforming data approprite for dual scaling

Description Usage Arguments Details Value References See Also Examples

View source: R/dsCHECK.R

Description

Initial data-polishing and handling of missing responses

Usage

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dsCHECK(X, mode='rad')

Arguments

X

The input data, a multiple choice table.

mode

There are two options: "rad" (default) for radical imputation and "act" for active imputation.

Details

With option "rad," those subjects with NA (no answer) responses are discarded from analysis. With option "act," the NA responses were placed into newly created options so that missing responses are also subjected to analysis.

Value

InitialData

The Initial Data.

TData

The transformed data, ready for dsMC or dsFC

References

Nishisato and Clavel (2014 in print). Dual scaling og multiple-choice data in R. Journal of Statistical Software.

See Also

dsMC, dsFC

Examples

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dualScale documentation built on May 29, 2017, 9:29 a.m.