Dear all,
I am trying to produce survfit plots in a trellis environment and I
would like the plots to be logarithmic.
I am trying this:
print(Ecdf(~time | size*type, groups=alg,data=B,subscripts=TRUE,
panel=function(x,groups,subscripts)
{
t <-
survfit(Surv(time[subscripts],event[subscripts])~groups[subscripts],data=B)
panel.xyplot(t[1]$time,1-t[1]$ssurv,type="s",lty=2)
panel.xyplot(t[2]$time,1-t[2]$ssurv,type="s",lty=2)
},
scale=list(log=TRUE)
)
but data are transformed in logarithm before being passed to the panel
and hence the output of the function survfit is not the expected one.
Is there a way to plot this correctly, ie, having first the survfit
computed and then the plot, like in:
plot(survfit(Surv(time,event)~groups,data=B),log=true)
Thanks in advance.
- Marco.
--
Marco Chiarandini http://www.imada.sdu.dk/~marco
Department of Mathematics Email: marco AT imada.sdu.dk
and Computer Science, Phone: +45 6550 4031
University of Southern Denmark Fax: +45 6593 2691
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