aspect-package: Aspects of Multivariables

Description Details Author(s) References See Also Examples

Description

This package consists of two main functions: The first function is corAspect() performs (optimal) scaling by maximizing an aspect (i.e. target function such as sum eigenvalues, sum of squared correlations, squared multiple correlations, etc.) of the corresponding correlation matrix. The second function is lineals() which performs scaling by mimimization a non-correlational aspect based on pairwise correlations and correlation ratios. The resulting correlation matrix and category scores can be used for further multivariate methods such as SEM.

Details

Package: aspect
Type: Package
Version: 1.0-2
Date: 2013-11-30
License: GPL
LazyLoad: yes

The main functions are lineals and corAspect. Both produce an object of class "aspect". For this class, print, summary and plot methods are provided.

Author(s)

Jan de Leeuw, Patrick Mair Maintainer: Jan de Leeuw <[email protected]>

References

Mair, P., & de Leeuw, J. (2010). A general framework for multivariate analysis with optimal scaling: The R package aspect. Journal of Statistical Software, 32(9).

See Also

corAspect, lineals

Examples

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data(galo)
res.lin <- lineals(galo)
res.lin
summary(res.lin)

aspect documentation built on May 31, 2017, 1:53 a.m.