recovery_data dataset

Simulated recovery data

Simulated recovery data

Simulated data allowing for recovery from infection, where recovered individuals experience the same background mortality as uninfected individuals. data

Format

An object of class data.frame with 120 rows and 10 columns.

recovery_data

Returns

A dataframe

  • columns 1-2: indicator variables identifying individuals in the control treatment that died (control.d = 1) or were censored (control.c = 1)
  • columns 3-4: indicator variables identifying individuals in the infected treatment that died (infected.d = 1) or were censored (infected.c = 1) while still infected
  • columns 5-6: indicator variables indenifying individuals in the infected treatment that died (recovered.d = 1) or were censored (recovered.c = 1) after recovering from infection
  • censor: '0' not censored, '1' censored
  • d: death indicator: '1' died, '0'
  • t: time of the event (death or censoring)
  • fq: frequence or number of individuals associated with the event of death or censoring at time t

Examples

head(recovery_data) ; tail(recovery_data)
  • Maintainer: Philip Agnew
  • License: GPL-3
  • Last published: 2020-10-24

About the dataset

  • Number of rows: 120
  • Number of columns: 10
  • Class: data.frame

Column names and types

  • control.d:integer
  • control.c:integer
  • infected.d:integer
  • infected.c:integer
  • recovered.d:integer
  • recovered.c:integer
  • censor:integer
  • d:integer
  • t:integer
  • fq:integer