plot.survomatic: Plot Survomatic Object
In bokov/powertrip: Analysis of longevity data.

Description Usage Arguments Details Value See Also Examples

Plot a survomatic object.

1	plot.survomatic(xx, what = c("srv", "haz", "den"), col = c("black", "black", "darkred", "darkred"), lwd = c(2, 2, 2, 2), lty = c(1, 2, 1, 2), xlim = NULL)

`xx`	A `survomatic` object (as produced by the `survwrapper` function).
`what`	`"srv"` will plot a survival curve, `"haz"` will plot a hazard function, and `"den"` will plot a density function.
`col`	Line colors for the first group data, the first group predicted values, the second group data, and the second group predicted values, respectively.
`lwd`	Line widths for the first group data, the first group predicted values, the second group data, and the second group predicted values, respectively.
`lty`	Line types for the first group data, the first group predicted values, the second group data, and the second group predicted values, respectively.
`xlim`	Range for x-axis, passed to `plot`.

For what="surv" plots ordinary survival curves. For what="haz" and what="den" also plots predicted values. To suppress one or the other, set the first and third or the second and fourth values of the col argument to NA.

NULL

survwrapper

## Generate two sets of survival times.
population1 <- simsurv(250,type='g',p=c(7.33e-4,0.1227,0,0));
population2 <-
simsurv(200,type='lm',p=c(5.4818e-5,0.1543,0.0023,0.6018));
     
## Fit models to the populations and compare the parameters.
models1vs2 <- survwrapper(population1,population2);

## Plot the resulting survomatic object
plot(models1vs2)