regr {yhat}

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 <[e-mail]>, Kim Nimon <[e-mail]>

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.

See Also

commonalityCoefficients, effect.size

Examples

     if (require ("MBESS")){
     data(HS)
     attach(HS)
     lm.out<-lm(t20_deduction~t10_addition*t24_woody_mccall)
     regr(lm.out)
     detach(HS)
     }