| hai_kmeans_mapped_tbl | R Documentation |
Create a tibble that maps the hai_kmeans_obj() using purrr::map()
to create a nested data.frame/tibble that holds n centers. This tibble will be
used to help create a scree plot.
hai_kmeans_mapped_tbl(.data, .centers = 15) kmeans_mapped_tbl(.data, .centers = 15)
.data |
You must have a tibble in the working environment from the
|
.centers |
How many different centers do you want to try |
Takes in a single parameter of .centers. This is used to create the tibble
and map the hai_kmeans_obj() function down the list creating a nested tibble.
A nested tibble
Steven P. Sanderson II, MPH
https://en.wikipedia.org/wiki/Scree_plot
Other Kmeans:
hai_kmeans_automl_predict(),
hai_kmeans_automl(),
hai_kmeans_obj(),
hai_kmeans_scree_data_tbl(),
hai_kmeans_scree_plt(),
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 ) hai_kmeans_mapped_tbl(ui_tbl)