vec2ddc: Transform a Vector into a Double-Coded Matrix

In svs: Tools for Semantic Vector Spaces

Transform a Vector into a Double-Coded Matrix

Description

A helper function for transforming a vector into a double-coded matrix.

Usage

vec2ddc(x, limits = c(NA, NA))

vec2dc(x, limits = c(NA, NA))

Arguments

x	A vector, either numeric or an ordered factor.
limits	Numeric vector of length two specifying the limits (or "poles") of the underlying ordinal variable. If left unspecified (the default), then the minimum and maximum in x will be taken.

Details

Double coding, also called data doubling, is a way of indicating how the values of an ordinal variable relate to the lower and upper limits of the variable. Columns - and + express how close each (observed) value is to these respective limits.

Value

A matrix with column names - and +.

References

Greenacre, M. (2014) Data doubling and fuzzy coding. In: J. Blasius and M. Greenacre (eds.) Visualization and verbalization of data. Chapman and Hall/CRC, 239–253. Greenacre, M. (2017) Correspondence analysis in practice, Third edition. Boca Raton: Chapman and Hall/CRC, 201–208.

See Also

dat2ddc.

svs documentation built on June 24, 2024, 5:07 p.m.