| hai_kmeans_scree_plt | R Documentation |
Create a scree-plot from the hai_kmeans_mapped_tbl() function.
hai_kmeans_scree_plt(.data) kmeans_scree_plt(.data) hai_kmeans_scree_plot(.data)
.data |
The data from the |
Outputs a scree-plot
A ggplot2 plot
Steven P. Sanderson II, MPH
https://en.wikipedia.org/wiki/Scree_plot
Other Kmeans:
hai_kmeans_automl_predict(),
hai_kmeans_automl(),
hai_kmeans_mapped_tbl(),
hai_kmeans_obj(),
hai_kmeans_scree_data_tbl(),
hai_kmeans_tidy_tbl(),
hai_kmeans_user_item_tbl()
library(healthyR.data) library(dplyr) data_tbl <- healthyR_data %>% filter(ip_op_flag == "I") %>% filter(payer_grouping != "Medicare B") %>% filter(payer_grouping != "?") %>% select(service_line, payer_grouping) %>% mutate(record = 1) %>% as_tibble() ui_tbl <- hai_kmeans_user_item_tbl( .data = data_tbl, .row_input = service_line, .col_input = payer_grouping, .record_input = record ) kmm_tbl <- hai_kmeans_mapped_tbl(ui_tbl) hai_kmeans_scree_plt(.data = kmm_tbl)