इम्प्यूटेशन्स का मूल्यांकन (कई मॉडल और वैरिएबल)

# Build a model adding year to the outcome
ocean_imp_lm_wind_year <- bind_shadow(___) %>%
  impute_lm(air_temp_c ~ wind_ew + wind_ns + ___) %>%
  impute_lm(humidity ~ wind_ew + wind_ns + ___) %>%
  add_label_shadow()

# Bind the mean, lm_wind, and lm_wind_year models together
bound_models <- bind_rows(mean = ocean_imp_mean,
                          lm_wind = ocean_imp_lm_wind,
                          lm_wind_year = ___,
                          .id = "imp_model")

# Explore air_temp and humidity, coloring by any missings, and faceting by imputation model
ggplot(___, aes(x = ___, y = ___, color = any_missing)) + 
  geom_point() + facet_wrap(~___)