How to run the same regression but replacing the dataframe used in R?

April 7, 2022

I have 3 dataframes (df1, df2, df3) with the same variable names, and I would like to perform essentially the same regressions on all 3 dataframes. My regressions currently look like this:

m1 <- lm(y ~ x1 + x2, df1)

m2 <- lm(y~ x1 + x2, df2)

m3<- lm(y~ x1 + x2, df3)

Is there a way I can use for-loops in order to perform these regressions by just swapping out dataframe used?

Thank you

>Solution :

or add the dataframes to a list and map the lm function over the list.

library(tidyverse)

df1 <- tibble(x = 1:20, y = 3*x + rnorm(20, sd = 5))
df2 <- tibble(x = 1:20, y = 3*x + rnorm(20, sd = 5))
df3 <- tibble(x = 1:20, y = 3*x + rnorm(20, sd = 5))

df_list <- list(df1, df2, df3)

m <- map(df_list, ~lm(y ~ x, data = .))