Use lapply for multiple regression with formula changing, not the dataset

Question

I have seen an example of list apply (lapply) that works nicely to take a list of data objects, and return a list of regression output, which we can pass to Stargazer for n

Answer 1

You can also use get():

# make a list of independent variables
  list_x <- list("nox","crim")

# create regression function
  my_reg <- function(x) { lm(indus ~ get(x), data = Boston) }

# run regression
  results <- lapply(list_x, my_reg)