ts_op_visits_tbl: Time Series - ED Arrivals Tibble

In spsanderson/LICHospitalR: Hospital Data Analysis Workflow Tools

Description

This takes data from the ts_op_visits_query() and makes an internal summary table using timetk::summarise_by_time with the following possible choices: "year", "month", "week", "day" 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". This function also uses the timetk::pad_by_time function with a value of 0 for time periods that have no data.

Usage

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

Arguments

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

Details

• Returns a tibble

• Expects ts_op_visits_query() as the data argument

Value

A tibble with the following columns:

1. date_col

2. value

Author(s)

Steven P. Sanderson II, MPH

Examples

## Not run: 
library(healthyR)

data <- ts_op_visits_query()

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

data %>%
  ts_op_visits_tbl(.by_time = "month") %>%
  ts_plt(.date_col = dsch_date, .value_col = value)

data %>%
  ts_op_visits_tbl()

data %>%
  ts_op_visits_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.