plotnpSurv2.HM: Uses a heat map to visualize a nonparametric bivariate...

In mhazard: Nonparametric and Semiparametric Methods for Multivariate Failure Time Data

Uses a heat map to visualize a nonparametric bivariate survival function

Description

Plots a heat map of an estimated nonparametric bivariate survival function. This function is a wrapper for the image function with default parameters chosen to make the data easier to visualize.

Usage

plotnpSurv2.HM(
  npSurv2.obj,
  contour = TRUE,
  col = terrain.colors(100),
  xlab = "T1",
  ylab = "T2",
  ...
)

Arguments

npSurv2.obj	Output of the npSurv2 function.
contour	Should contour lines be added to the plot? Defaults to TRUE.
col	List of colors for the heat map. Defaults to terrain.colors(100).
xlab	The x-axis label. Defaults to "T1".
ylab	The y-axis label. Defaults to "T2".
...	Additional parameters to the image function.

See Also

npSurv2, image

Examples

x <- genClayton2(1000, 0, 1, 1, 2, 2)
x.npSurv2 <- npSurv2(x$Y1, x$Y2, x$Delta1, x$Delta2)
plotnpSurv2.HM(x.npSurv2)

x2 <- genClayton2(1000, 2, 1, 1, 2, 2)
x2.npSurv2 <- npSurv2(x2$Y1, x2$Y2, x2$Delta1, x2$Delta2)
plotnpSurv2.HM(x2.npSurv2)

mhazard documentation built on Aug. 17, 2023, 5:12 p.m.