# helper objects for aspect_importance tests
# titanic
titanic_data <- titanic_imputed

titanic_glm_model <- glm(survived == 1 ~ class+gender+age+sibsp+parch+fare+embarked,
                         titanic_data, family = "binomial")

titanic_new_observation <- data.frame(
  class = factor("1st", levels = c("1st", "2nd", "3rd", "deck crew",
                                   "engineering crew", "restaurant staff",
                                   "victualling crew")),
  gender = factor("male", levels = c("female", "male")),
  age = 8,
  sibsp = 0,
  parch = 0,
  fare = 72,
  embarked = factor("Southampton", levels = c("Belfast","Cherbourg",
                                              "Queenstown","Southampton"))
)

titanic_aspects <- list(wealth = c("class", "fare"),
                        family = c("gender", "sibsp", "parch"),
                        age = "age",
                        embarked = "embarked")


# apartments

apartments_lm_model <- lm(m2.price ~ ., data = apartments)

apartments_aspects <- list(space = c("surface", "no.rooms"),
                           construction.year = "construction.year",
                           floor = "floor",
                           district = "district")

apartments_new_observation <- apartments_test[2,-1]

apartments_num <- apartments[,unlist(lapply(apartments, is.numeric))]

apartments_num_lm_model <- lm(m2.price ~ ., data = apartments_num)

apartments_num_new_observation <- apartments_num[2,-1]

apartments_num_mod <- apartments_num[,-1]