regr: 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
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
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.
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.