Jani Lobo <lobo <at> grupocomar.com> writes:
> I want to estimate the survival mean of a few specific teams. I'm trying to
> calculate it through a Kaplan Meier estimator. For doing so, I load the
> "survival" package and run the following instructions:
>
> "options(survfit.print.mean=TRUE)" allows showing the mean and mean
> standard error
>
> "KM=survfit(Surv(Dias,Censura))" runs the model
>
> "KM" shows the model
>
> It is in this very moment when it shows the mean value and the mean standard
> error.
>
> I'd like to know if there is any instruction that returns the mean value and
> its standard error, something like:
>
> "KM$rmean"
>
It's always good to use an example that can be run by other people,
and it is easy: just use the example from the documentation
library(survival)
fit <- survfit(Surv(time, status) ~ x, data=aml)
# str tells you what fit has to offer
str(fit)
### Too bad, no summary data available here, looks
## like print.survfit does the job
getAnywhere(print.survfit)
Checking the code: there are a lot of print statements in here,
and the summary results are not returned. Now you have two choices:
either use the code from print.survfit, copy it, and get the values
you need from a changed function. Can be some work.
Or check if someone else has done the work for you, and bingo:
summary.survfit in package Design looks like it is doing the job.
Dieter
summary.survfit {Design}
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