hchart.survfit function

Plot survival curves using Highcharts

## S3 method for class 'survfit'
hchart(
  object,
  ...,
  fun = NULL,
  markTimes = TRUE,
  symbol = "plus",
  markerColor = "black",
  ranges = FALSE,
  rangesOpacity = 0.3
)

Arguments

• object: A survfit object as returned from the survfit function
• ...: Extra parameters to pass to hc_add_series function
• fun: Name of function or function used to transform the survival curve: log will put y axis on log scale, event plots cumulative events (f(y) = 1-y), cumhaz plots the cumulative hazard function (f(y) = -log(y)), and cloglog creates a complimentary log-log survival plot (f(y) = log(-log(y)) along with log scale for the x-axis.
• markTimes: Label curves marked at each censoring time? TRUE by default
• symbol: Symbol to use as marker (plus sign by default)
• markerColor: Color of the marker ("black" by default); use NULL to use the respective color of each series
• ranges: Plot interval ranges? FALSE by default
• rangesOpacity: Opacity of the interval ranges (0.3 by default)

Returns

Highcharts object to plot survival curves

Examples

# Plot Kaplan-Meier curves
require("survival")
leukemia.surv <- survfit(Surv(time, status) ~ x, data = aml)
hchart(leukemia.surv)

# Plot the cumulative hazard function
lsurv2 <- survfit(Surv(time, status) ~ x, aml, type = "fleming")
hchart(lsurv2, fun = "cumhaz")

# Plot the fit of a Cox proportional hazards regression model
fit <- coxph(Surv(futime, fustat) ~ age, data = ovarian)
ovarian.surv <- survfit(fit, newdata = data.frame(age = 60))
hchart(ovarian.surv, ranges = TRUE)