ts_alos_elos_tbl: Time Series - ALOS/ELOS Excess Tibble

In spsanderson/LICHospitalR: Hospital Data Analysis Workflow Tools

Description

This takes data from the ts_alos_elos_query() and makes an internal summary table using timetk::summarise_by_time with the following possible choices: "year", "month", "week", these are checked inside of the function, if something else is chose an error will be thrown and the function will exit. It defaults to "month".

Usage

ts_alos_elos_tbl(.data, .by_time = "month", .date_col)

Arguments

.data	The data passed in from ts_alos_elos_query()
.by_time	The choices are "year", "month", "week", defaults to "month"
.date_col	The column containing the date variable of interest

Details

• Returns a tibble

• Expects ts_alos_elos_query() as the data argument

Value

A tibble with the following columns:

1. date_col

2. visit_count

3. sum_days

4. sum_exp_days

5. alos

6. elos

7. excess_days

8. avg_excess

Author(s)

Steven P. Sanderson II, MPH

Examples

## Not run: 
library(healthyR)

data <- ts_alos_elos_query()

data %>%
  ts_alos_elos_tbl(.by_time = "year")

data %>%
  ts_alos_elos_tbl(.by_time = "month") %>%
  ts_plt(.date_col = dsch_date, .value_col = avg_excess)

data %>%
  ts_alos_elos_tbl()

data %>%
  ts_alos_elos_tbl(.by_time = "week") %>%
  save_to_excel(.file_name = "weekly_alos_excess")

## End(Not run)

spsanderson/LICHospitalR documentation built on Jan. 6, 2022, 12:32 a.m.