I am running a simulation and would like to know if there was a way to access the "x" estimate inside of my model using broom, dplyr, modelr, or purrr.
This gives me exactly what I want, but I don't want to use [[1]]
in the last chunk of code.
library(tidyverse)
library(purrr)
library(broom)
mod <- function(df) {
lm(y ~ x, data = df)
}
sim <- tibble(
model = "model1",
mu = 5, #this is unknown in practice
beta = 2.7, #this is unknown in practice
sigma = 0.15, #this is unknown in practice
mu_e = 0,
sigma_e = 1
)
sim_dat <- sim %>%
crossing(replication = 1:10000) %>%
mutate(e = rnorm(mu_e, mu_e),
x = sample(c(0,1),size=n(),replace = TRUE,prob=c(0.5, 0.5)),
y = mu+x*beta+e) %>%
group_by(model) %>%
nest() %>%
mutate(model_fit = map(data, mod))
broom::tidy(sim_dat$model_fit[[1]]) %>%
filter(term=="x") %>%
select(estimate)