plot.survCS: Plot for an object of class "survCS".

In sestelo/condsurv: Estimation of the Conditional Survival Function for Ordered Multivariate Failure Time Data

Plot for an object of class "survCS".

Description

It draws the estimated conditional survival probabilities.

Usage

## S3 method for class 'survCS'
plot(
  x = object,
  y = NULL,
  conf = NULL,
  type = NULL,
  conftype = NULL,
  col = 1:6,
  confcol = 1:6,
  lty = 1,
  conflty = 2,
  xlab = "Time",
  ylab = "Survival",
  ylim = NULL,
  xlim = NULL,
  ...
)

Arguments

x	An object of class "survCS".
y	NULL
conf	Draw the confidence intervals into the plot. By default it is NULL, they are drawn if the "surv" object contains them.
type	The type of plot that should be drawn. See details par for possible options. Defaults to "s" for the draw be stair steps.
conftype	The type of plot that should be drawn for confidence intervals. See details par for possible options. Defaults to "s" for the draw be stair steps.
col	Vector of colors. Colors are used cyclically.
confcol	Vector of colors for the confidence intervals. Colors are used cyclically.
lty	The line type. Line types can either be specified as an integer (0 = blank, 1 = solid (default), 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash). See details in par.
conflty	The line type for confidence intervals. Line types can either be specified as an integer (0 = blank, 1 = solid (default), 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash).
xlab	A title for the x axis: see title.
ylab	A title for the y axis: see title.
ylim	The y limits of the plot.
xlim	The x limits of the plot.
...	Other options.

Value

No value is returned.

Author(s)

Luis Meira-Machado and Marta Sestelo

Examples

fit1 <- survCOND(survCS(time1, event1, Stime, event) ~ 1, x = 365,
   data = colonCS, method = "LDM", conf = TRUE)

plot(fit1, xlab = "Time (days)", ylab = "S(y|365)", ylim = c(0.5, 1))

fit4 <- survCOND(survCS(time1, event1, Stime, event) ~ rx,
   x = 365, data = colonCS, method = "LDM")

plot(fit4, xlab = "Time (days)", ylab = "S(y|365)", ylim = c(0.5, 1))

sestelo/condsurv documentation built on March 7, 2023, 3:19 a.m.