Plot survival results — plotSurvival • CohortSurvival

Plot survival results

Usage

plotSurvival(
  result,
  ribbon = TRUE,
  facet = NULL,
  colour = NULL,
  cumulativeFailure = FALSE,
  riskTable = FALSE,
  riskInterval = 30,
  logLog = FALSE,
  timeScale = "days"
)

Arguments

result: Survival results
ribbon: If TRUE, the plot will join points using a ribbon
facet: Variables to use for facets
colour: Variables to use for colours
cumulativeFailure: whether to plot the cumulative failure probability instead of the survival probability
riskTable: Whether to print risk table below the plot
riskInterval: Interval of time to print risk table below the plot
logLog: If TRUE, the survival probabilities are transformed using the log-log formula
timeScale: The scale of time in the x-axis. Can be "days", "months", or "years"

Value

A plot of survival probabilities over time

Examples

# \donttest{
cdm <- mockMGUS2cdm()
surv <- estimateSingleEventSurvival(cdm,
                                    targetCohortTable = "mgus_diagnosis",
                                    outcomeCohortTable = "death_cohort")
#> - Getting survival for target cohort 'mgus_diagnosis' and outcome cohort
#> 'death_cohort'
#> Getting overall estimates
#> `eventgap`, `outcome_washout`, `censor_on_cohort_exit`, `follow_up_days`, and
#> `minimum_survival_days` casted to character.
plotSurvival(surv)

# }