| hai_kmeans_scree_data_tbl | R Documentation |
Take data from the hai_kmeans_mapped_tbl() and unnest it into a
tibble for inspection and for use in the hai_kmeans_scree_plt() function.
hai_kmeans_scree_data_tbl(.data) kmeans_scree_data_tbl(.data)
.data |
You must have a tibble in the working environment from the
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Takes in a single parameter of .data from hai_kmeans_mapped_tbl() and
transforms it into a tibble that is used for hai_kmeans_scree_plt(). It will
show the values (tot.withinss) at each center.
A nested tibble
Steven P. Sanderson II, MPH
Other Kmeans:
hai_kmeans_automl_predict(),
hai_kmeans_automl(),
hai_kmeans_mapped_tbl(),
hai_kmeans_obj(),
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 ) kmm_tbl <- hai_kmeans_mapped_tbl(ui_tbl) hai_kmeans_scree_data_tbl(kmm_tbl)