Fixest and Standardized Coefficients from Easystats in R

Question

I was wondering what would be the best way to calculate and present standardized coefficients using fixest. Here is what I tried using easystats

  library(parameters)
  library(effectsize)
  library(fixest)
  
  m <- lm(rating ~ complaints, data = attitude) 
  standardize_parameters(m, method="basic")# works

  m <- feols(rating ~ complaints, data = attitude) 
standardize_parameters(m, method="basic")# Error in stats::model.frame(model)[[1]] : subscript out of bounds

  

I also tried the modelsummary approach, but it shows unstandardized coefficients with no error.

   
   library(parameters)
   library(effectsize)
   
   m <- lm(rating ~ complaints, data = attitude)
   
   modelsummary(m, standardize="refit") # works, coeffs are different

   m <- feols(rating ~ complaints, data = attitude)

   modelsummary(m, standardize="refit")# doesn't work, coeffs are the same

Any insight or advice on how to elegantly and easily pull standardized coefficients out of fixest estimation results would be greatly appreciated. My goal is to replicate the venerable to use listcoef package in Stata. Many thanks to the authors of the packages mentioned in this post!

Edit: ``` > packageVersion("modelsummary") [1] ‘1.1.0.9000’

Answer 1

One potential solution is to just manually calculate the standardized coefficients yourself, as [detailed here][1]. As an example, below I scale your predictor and outcome, then calculate the standardized beta coefficient of the only predictor in your model.

#### Scale Predictor and Outcome ####
scale.x <- sd(attitude$complaints)
scale.y <- sd(attitude$rating)

#### Obtain Standardized Coefficients ####
sb <- coef(m)[2] * scale.x / scale.y
sb

Which gives you this (you can ignore the column name, as it is just borrowing it from the original coef vector):

complaints 
 0.8254176 

[1]: https://www.sciencedirect.com/topics/mathematics/standardized-regression-coefficient#:~:text=The%20standardized%20regression%20coefficient%2C%20found,one%20of%20its%20standardized%20units%20(