PARTIAL_COEFS: Standardized coefficients and partial correlations for...

In SIMPLE.REGRESSION: OLS, Moderated, Logistic, and Count Regressions Made Simple

Standardized coefficients and partial correlations for multiple regression

Description

Produces standardized regression coefficients, partial correlations, and semi-partial correlations for a correlation matrix in which one variable is a dependent or outcome variable and the other variables are independent or predictor variables.

Usage

PARTIAL_COEFS(cormat, modelRsq=NULL, verbose=TRUE)

Arguments

cormat	A correlation matrix. The DV (the dependent or outcome variable) must be in the first row/column of cormat. Example: cormat = correls
modelRsq	(optional) The model Rsquared, which makes the computations slightly faster when it is available. Example: modelRsq = .22
verbose	Should detailed results be displayed in console? The options are: TRUE (default) or FALSE.

Value

A data.frame containing the standardized regression coefficients (betas), the Pearson correlations, the partial correlations, and the semi-partial correlations for each variable with the DV.

Author(s)

Brian P. O'Connor

References

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Lawrence Erlbaum Associates.

Examples

PARTIAL_COEFS(cormat = cor(data_Green_Salkind_2014))

SIMPLE.REGRESSION documentation built on Sept. 11, 2024, 8:36 p.m.