Hi, I am completing an online course in r and am stuck on a question
# Build a linear model for each country using all features
gap_fullmodel <- gap_nested %>%
mutate(model = map(data, ~lm(formula = life_expectancy ~., data = .x)))
fullmodel_perf <- gap_fullmodel %>%
# Extract the fit statistics of each model into dataframes
mutate(fit = map(model, ~glimpse(.x))) %>%
# Simplify the fit dataframes for each model
unnest(fit)
# View the performance for the four countries with the worst fitting
# four simple models you looked at before
fullmodel_perf %>%
___(country %in% worst_fit$country) %>%
select(country, adj.r.squared)
What command should go on the second last line, before (country %in% worst_fit$country)?