calc_velocity: Compute the velocity of K and I

In YuanchenZhu2020/DemoPreTurningPointsCOVID19: Demo of Tracking and Forecasting Milepost Moments of COVID-19

Description

Compute the velocity of infection rate K change and completion rate I change.

Usage

calc_velocity(indicators, M, Beginning_Time)

Arguments

indicators	dataframe that stores indicators calculate by get_indicators(): date: the exact day in the formate "%y-%m-%d" as a character confirmed: the daily confirmed cases at the given date recovered: the daily recovered cases at the given date deaths: the daily deaths at the given daten cum_confirmed: the cumulative confirmed cases active_cases: The number of infectious cases in hospital infection_rate: The daily infection rate removed_rate: the daily removed rate
M	the selection of time window.
Beginning_Time	the selection of beginning time, which must be in the formate "%y-%m-%d" as a character.

Value

A list contains 4 elements:

• infection_rate_velocity: the velocity of K.

• removed_rate_velocity: the velocity of I.

• corr.infection: vvector of corrected M_K and T_K.

• corr.removed: vector of corrected M_I and T_I. These 2 corrected vector in the format of "c(T, M)" used to calculate the above 2 indicators which may be needed in later calculation.

Examples

Beginning_Time <- "2020-01-29"
M <- 5
indicators <- get_indicators(DemoPreTurningPointsCOVID19::COVID19_CN)
velocity <- calc_velocity(indicators, M, Beginning_Time)

YuanchenZhu2020/DemoPreTurningPointsCOVID19 documentation built on Aug. 17, 2020, 12:24 a.m.