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Last data update: 2014.03.03

R: Regression effect reporting for lm class objects

regr	R Documentation

Regression effect reporting for lm class objects

Description

The regr reports beta weights, standardized beta weights, structure coefficients, adjusted effect sizes, and commonality coefficients for lm class objects.

Usage

regr(lm.out)

Arguments

lm.out

lm class object

Details

The function regr takes the lm class object and reports beta weights, standardized beta weights, structure coefficients, adjusted effect sizes, and commonality coefficients for lm class objects.

Value

`LM_Output`	The summary of the output from the `lm` class object
`Beta_Weights`	Beta weights for the regression effects
`Structure_Coefficients`	Structure coefficients for the regression effects
`Commonality_Data`	Commonality coefficients for the regression effects. The output only produces a parsed version of CCdata
`Effect_Size`	Adjusted effect size computations based on R^2 adjustments

Author(s)

J. Kyle Roberts <kyler@smu.edu>, Kim Nimon <kim.nimon@gmail.com>

References

Kraha, A., Turner, H., Nimon, K., Zientek, L., Henson, R. (2012). Tools to support multiple regression in the face of multicollinearity.Frontiers in Psychology, 3(102), 1-13.

Examples

     require("MBESS")
     data(HS.data)
     attach(HS.data)
     lm.out<-lm(deduct~addition*arithmet)
     regr(lm.out)
     detach(HS.data)