detect.CP: COVID-19 Data Checking and Reparing (CDCAR)

Description Usage Arguments Details Value

View source: R/detect.CP.R

Description

This function detects the order-dependency violation of county/state level covid-19 data (or similar type of data including the count time series and epidemic data).

Usage

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detect.CP(
  dat = list(),
  level = "county",
  state.show = NULL,
  county.show = NULL,
  plot.show = TRUE,
  cp.sd = 2,
  slope.r = 5,
  manual.decision = FALSE
)

Arguments

dat

A data frame or list containing the time series of infection or death cases.

level

Level of data for detection. Level "county" represents county level data, and level "state" means state level data. Default is set to "county".

state.show

Within the dataset, which state the detection algorithm should focus on.

county.show

For county level data, which county the detection algorithm should focus on.

plot.show

Whether show the time series plot during the detection procedure. Default is set to NULL.

cp.sd

Default is set to 2.

slope.r

Default is set to 5.

manual.decision

Whether using the interactive decision mode. Default is set to FALSE.

Details

This R package is the implementation program for article entitled "Comparing and Integrating US COVID-19 Data from Multiple Sources: A County-Level Dataset with Local Features" by Guannan Wang, Zhiling Gu, Xinyi Li, Shan Yu, Myungjin Kim, Yueying Wang, Lei Gao, and Li Wang.

Value

A list containing the following information.
dat.sub The data which contains the information on the state/county specified.
dat.new The data after the order-dependency violation detection. NA represents the data point that needs repairment.
n.OD Number of order-dependency violation.
dates.CP The dates in the time series that the change-point occurred.


covid19-dashboard-us/cdcar documentation built on Jan. 3, 2021, 4:58 p.m.