R: Plot the estimated survival-completed cumulative loss curve

plot.LRfit {WA}

R Documentation

Plot the estimated survival-completed cumulative loss curve

Description

Plot the estimated survival-completed cumulative loss (while-alive loss rate times the length of follow-up) as a function of the time horizon.

Usage

## S3 method for class 'LRfit'
plot(
  x,
  group = NULL,
  conf = FALSE,
  main = NULL,
  xlim = NULL,
  ylim = NULL,
  xlab = "Follow-up time",
  ylab = "Survival-completed cumulative loss",
  group.col = NULL,
  conf.lty = 3,
  lwd = 2,
  legend = TRUE,
  ...
)

Arguments

`x`	An object returned by `LRfit`.
`group`	Specifies the group to be plotted.
`conf`	If TRUE, 95% confidence limits for the target curve are overlaid.
`main`	A main title for the plot.
`xlim`	The x limits of the plot.
`ylim`	The y limits of the plot.
`xlab`	A label for the x axis, defaults to a description of x.
`ylab`	A label for the y axis, defaults to a description of y.
`group.col`	A vector of colors for the group-specific curves; must be commensurate with the number of groups.
`conf.lty`	Line type for the confidence limits if `conf=TRUE`.
`lwd`	Line width.
`legend`	If TRUE, a crude legend for the group-specific curves will appear on the bottom right corner of the graph.
`...`	Other arguments that can be passed to the underlying `plot` method.

Value

No return value, called for side effects.

Examples

# load the HF-ACTION trial data
head(hfaction_cpx12)
# fit the data
dat<-hfaction_cpx12
obj<-LRfit(dat$id,dat$time,dat$status,dat$trt)
# print the event numbers by group
obj
# summarize the inference results for tau=3.5 years
# with joint test with RMST
summary(obj,tau=3.5,joint.test=TRUE)
# plot the estimated survival-completed cumulative loss
# by group, with 95% confidence intervals
plot(obj,conf=TRUE,xlab="Time (years)",xlim=c(0, 3.5),ylim=c(0,3),
    ylab="Survival-completed cumulative frequency")