hchart.survfit: Plot survival curves using Highcharts

In highcharter: A Wrapper for the 'Highcharts' Library

Description

Plot survival curves using Highcharts

Usage

## 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)

Value

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)

highcharter documentation built on Jan. 3, 2022, 5:08 p.m.