| residualCovariate {semTools} | R Documentation |
Residual-center 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, 2013).
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
Author(s)
Sunthud Pornprasertmanit (psunthud@gmail.com)
References
Geldhof, G. J., Pornprasertmanit, S., Schoemann, A. M., & Little, T. D. (2013). Orthogonalizing through residual centering: Extended applications and caveats. Educational and Psychological Measurement, 73(1), 27–46. doi:10.1177/0013164412445473
See Also
indProd For creating the indicator products with no
centering, mean centering, double-mean centering, or residual centering.
Examples
dat <- residualCovariate(attitude, 2:7, 1)