hai_umap_list {healthyR.ai} | R Documentation |
UMAP Projection
Description
Create a umap object from the uwot::umap()
function.
Usage
hai_umap_list(.data, .kmeans_map_tbl, .k_cluster = 5)
umap_list(.data, .kmeans_map_tbl, .k_cluster = 5)
Arguments
.data |
The data from the |
.kmeans_map_tbl |
The data from the |
.k_cluster |
Pick the desired amount of clusters from your analysis of the scree plot. |
Details
This takes in the user item table/matix that is produced by
hai_kmeans_user_item_tbl()
function. This function uses the defaults of
uwot::umap()
.
Value
A list of tibbles and the umap object
Author(s)
Steven P. Sanderson II, MPH
See Also
-
https://github.com/jlmelville/uwot (GitHub)
-
https://github.com/jlmelville/uwot (arXiv paper)
Other UMAP:
hai_umap_plot()
Examples
library(healthyR.data)
library(dplyr)
library(broom)
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()
uit_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(uit_tbl)
umap_list(.data = uit_tbl, kmm_tbl, 3)
[Package healthyR.ai version 0.1.1 Index]