^-?([0-8]?[0-9]|90)(\.[0-9]{1,10})$
- 56.3847
- -56.387
| Degrees Minutes Seconds (DMS) | |
| 40° 26′ 46″ N 79° 58′ 56″ W | |
| 40° 26′ 46″ S 79° 58′ 56″ E | |
| 90° 0′ 0″ S 180° 0′ 0″ E | |
| 40° 26′ 45.9996″ N 79° 58′ 55.2″ E | |
| Latitudes range from 0 to 90. | |
| Longitudes range from 0 to 180. | |
| Minutes & Seconds range from 0-60 | |
| Use N, S, E or W as either the last character, | |
| which represents a compass direction North, South, East or West. |
| data2_cor <- data2 %>% | |
| select_if(is.numeric) %>% | |
| cor(.) | |
| highly_correlated <- caret::findCorrelation(data2_cor, cutoff = .9) | |
| complete_data <- data2[, -highly_correlated] |
| varImp <- varImp(model.glmnet) | |
| plot(varImp) |
| rmse <- sqrt(mean((pred_test - test$excess_weight_in_adults_aged_18_persons_18_yrs)^2)) | |
| rmse |
| test <- test %>% | |
| janitor::clean_names() | |
| pred_test <- predict(model.glmnet, newdata = test) |
| train <- train %>% janitor::clean_names() ## rpart doesn't like variable names with spaces | |
| model.glmnet <- train(percentage_of_adults_aged_18_classified_as_overweight_or_obese_persons_18_yrs ~., data = train, method = "glmnet", trControl = control) |
| glm <- model.glm$results %>% select(RMSE:MAE) %>% mutate(model = "glm") | |
| glmnet <- model.glmnet$results %>% select(RMSE:MAE) %>% mutate(model = "glmnet") | |
| rpart <- model.rpart$results %>% select(RMSE:MAE) %>% mutate(model = "rpart") | |
| ranger <- model.ranger$results %>% select(RMSE:MAE) %>% mutate(model = "ranger") | |
| results <- bind_rows(glm, glmnet, rpart, ranger) | |
| results |
| #install_github("dgrtwo/drlib") | |
| library(drlib) | |
| tidy_tm %>% | |
| group_by(topic) %>% | |
| top_n(10, beta) %>% | |
| ungroup() %>% | |
| mutate(topic = paste0("Topic ", topic), | |
| term = reorder_within(term, beta, topic)) %>% |
| bigrams <- check %>% | |
| create_bigrams(title) | |
| bigrams %>% | |
| count(bigram, year) %>% | |
| dplyr::top_n(100) %>% | |
| ggplot(aes(bigram, fct_rev(year), fill = n)) + | |
| geom_tile() + | |
| theme(axis.text.x= element_text(size = 7, angle = 90, hjust = 0)) + | |
| scale_x_discrete(position = "top") + |