residualCovariate:
Residual centered all target indicators by covariates
Description
This function will regress target variables on the covariate and replace the target variables by the residual of the regression analysis. This procedure is useful to control the covariate from the analysis model (Geldhof, Pornprasertmanit, Schoemann, & Little, in press).
Usage
residualCovariate(data, targetVar, covVar)
Arguments
data
The desired data to be transformed.
targetVar
Varible names or the position of indicators that users wish to be residual centered (as dependent variables)
covVar
Covariate names or the position of the covariates using for residual centering (as independent variables) onto target variables
Value
The data that the target variables replaced by the residuals
References
Geldhof, G. J., Pornprasertmanit, S., Schoemann, A. M., & Little, T. D. (2013). Orthogonalizing through residual centering: Applications and caveats. Educational and Psychological Measurement, 73, 27-46.
See Also
indProd For creating the indicator products with no centering, mean centering, double-mean centering, or residual centering.