Description Usage Arguments Value Examples
Mega function that draws multiple kaplan meyer survival curves (or just 1)
1 2 3 4 |
chosen.btas |
list of testing coefficients to calculate prognostic indexes, for example “list(Age = some_vector)“ |
xdata |
n x m matrix with n observations and m variables |
ydata |
Survival object |
probs |
How to separate high and low risk patients 50%-50% is the default, but for top and bottom 40% -> c(.4,.6) |
filename |
Name of file if save.plot is TRUE |
save.plot |
TRUE plots everything and save, FALSE only calculates p-valeu |
xlim |
Optional argument to limit the x-axis view |
ylim |
Optional argument to limit the y-axis view |
base.directory |
Initial directory where to store files |
legend.outside |
If TRUE legend will be outside plot, otherwise inside |
A list with plot, p-value and kaplan-meier object
1 2 3 | data('ovarian', package = 'survival')
draw.kaplan(c(age = 1), ovarian$age, data.frame(time = ovarian$futime, status = ovarian$fustat))
draw.kaplan(c(age = 1), c(1,0,1,0,1,0), data.frame(time = runif(6), status = rbinom(6, 1, .5)))
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.