hai_kmeans_mapped_tbl: K-Means Mapping Function

In healthyR.ai: The Machine Learning and AI Modeling Companion to 'healthyR'

K-Means Mapping Function

Description

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.

Usage

hai_kmeans_mapped_tbl(.data, .centers = 15)

kmeans_mapped_tbl(.data, .centers = 15)

Arguments

.data	You must have a tibble in the working environment from the hai_kmeans_user_item_tbl()
.centers	How many different centers do you want to try

Details

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.

Value

A nested tibble

Author(s)

Steven P. Sanderson II, MPH

See Also

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()

Examples

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)

healthyR.ai documentation built on April 3, 2023, 5:24 p.m.