yhat-package {yhat} | R Documentation |
The purpose of this package is to provide methods for variance partitioning for linear models and canonical correlation and methods for interpreting regression effects using beta weights, standardized beta weights, structure coefficients, and adjusted effect sizes.
Package: | yhat |
Type: | Package |
Version: | 1.0 |
Date: | 2009-07-02 |
License: | GPL (>= 2) |
LazyLoad: | yes |
The regr
reports beta weights, standardized beta weights,
structure coefficients, adjusted effect
sizes, and commonality coefficients.
The commonalityCoeffcients
function is based on Mood's
(1969) procedure for computing commonality analysis formulas
for any number of k predictor variables. The function
outputs a list of two tables. The first table lists the
commonality coefficients and the percentage of variance
associated with each effect. The second table provides a total
of the unique and common effects for each independent variable.
The canonCommonality
function produces commonality data
for both canonical variables sets. Variables in a given
canonical set are used to partition the variance of the
canonical variates produced from the other canonical
set and vica versa. Commonality data is supplied for the number
of canonical functions requested.
Canonical commonality analysis is not substantively different from regression commonality analysis developed by Mood (1969). In fact, Beaton (1973) recognized multivariate commonality as a simple generalization of univariate commonality, indicating that the two techniques provide identical results when one canonical set contains only a single variable.
Kim Nimon <kim.nimon@gmail.com>, J. Kyle Roberts <kyler@smu.edu>
Beaton, A. E. (1973) Commonality. (ERIC Document Reproduction Service No. ED111829)
Butts, C. T. (2009). yacca: Yet Another Canonical Correlation Analysis Package. R package version 1.1.
Mood, A. M. (1969) Macro-analysis of the American educational system. Operations Research, 17, 770-784.
Nimon, K., Lewis, M., Kane, R. & Haynes, R. M. (2008) An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example. Behavior Research Methods, 40(2), 457-466.
regr
commonalityCoefficients
canonCommonality