Re: [R] Effect size in multiple regression

Hi Michael, You can just fit your model, and then use anova() to get the Sum of Squares. ## fit and store model m <- lm(mpg ~ hp * wt * vs, data = mtcars) ## store ANOVA from model msum <- anova(m) ## divide all Sums of Squares by the sum() of the Sums of Squares msum[["Sum Sq"]]/sum(msum[["Sum S

[R] Effect size in multiple regression

Dear all, is there a convenient way to determine the effect size for a regression coefficient in a multiple regression model? I have a model of the form lm(y ~ A*B*C*D) and would like to determine Cohen's f2 (http://en.wikipedia.org/wiki/Effect_size) for each predictor without having to do it manu