Getting partial R2 values from a Multivariate Linear regression

Question

I have a linear model with multiple predictor variables, and I would like to know the partial R2 values for each predictor. I see the partial p-values in the summary output but not the partial R2s. Do i need to download additional packages for this?

df <- mtcars

mod.mlr <-summary( lm(mpg ~., data = df))

Answer 1

You can use the function partial_r2 of the R package sensemakr to compute the partial R2.

library(sensemakr)
#> See details in:
#> Carlos Cinelli and Chad Hazlett (2020). Making Sense of Sensitivity: Extending Omitted Variable Bias. Journal of the Royal Statistical Society, Series B (Statistical Methodology).

df <- mtcars

model <- lm(mpg ~., data = df)

partial_r2(model)
#>  (Intercept)          cyl         disp           hp         drat           wt 
#> 0.0201591032 0.0005412271 0.0258677677 0.0443187825 0.0109107458 0.1548024114 
#>         qsec           vs           am         gear         carb 
#> 0.0566909597 0.0010844617 0.0667336071 0.0090902140 0.0027495993