Commonality Coefficients returns a list of two tables. The first
table CC contains the list of commonality coefficients and
the percent variance for each effect. The second CCTotByVar
totals the unique and common effects for each independent variable.
Dataset containing the dependent and independent variables
dv
The dependent variable named in the dataset
ivlist
List of independent variables named in the dataset
imat
Echo flag, default to FALSE
Details
When echo flag is true, transitional matrices during commonality
coefficient calculation are sent to output window. Default for
this option is false. When set to true, the intermediate matrices
for each commonality coefficient and regression combinations are
printed in the output window.
Value
CC
Matrix containing commonality coefficients and percentage of
variance for each effect.
CCTotalByVar
Table of unique and common effects for each independent
variable.
Author(s)
Kim Nimon <kim.nimon@gmail.com>
References
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, 457-466.
See Also
canonCommonalitygenListoddsetBits
Examples
## Predict miles per gallon based on vehicle weight, type of
## carborator, & number of engine cylinders
commonalityCoefficients(mtcars,"mpg",list("wt","carb","cyl"))
## Predict paragraph comprehension based on four verbal
## tests: general info, sentence comprehension, word
## classification, & word type
## Use HS dataset in MBESS
require ("MBESS")
data(HS.data)
## Commonality Coefficient Analysis
commonalityCoefficients(HS.data,"paragrap",list("general",
"sentence","wordc","wordm"))