Description Usage Arguments Value Author(s) References Examples
Function to implement Johnson's (2000) relative weight computation.
1 | relWt(r_mat, y_col, x_col)
|
r_mat |
A correlation matrix. |
y_col |
A vector of columns representing criterion variables. |
x_col |
A vector of columns representing predictor variables. |
A list containing the objects eps, beta_star, and lambda_star. The object eps contains the vector of relative weights of the predictors whose sum is equivalent to the model R^2 (see Johnson, 2000, ps 8 - 9). The object beta_star contains the regression weights from regressing the criterion on Z, the 'best fitting orthogonal approximation' of the predictor variables (see Johnson, 2000, p. 5). The object lambda_star contains the regression coefficients from regressing Z on the predictor variables (see Johnson, 2000, p. 8).
Jeff Jones and Allen Goebl
Johnson, J. (2000). A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research, 35, 1–19.
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