On Mon, 26 Oct 2009 15:54:08 -0700
Frank E Harrell Jr wrote:
> Best to take a break and read over more documentation.
Got it!! Thank you very much!
Aric
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On Mon, 26 Oct 2009 15:54:08 -0700
Frank E Harrell Jr wrote:
> But fit.example1 is a cph object. It can go directly to survplot.
>
> Best to take a break and read over more documentation.
Yes, doesn't work as I noted. I'll keep reading as I have been, but this
is the closest I have gotten to ma
Aric Gregson wrote:
On Mon, 26 Oct 2009 15:10:42 -0700
Frank E Harrell Jr wrote:
survplot(survest(fit.example1), n.risk=T, conf='none',
cex.n.risk=.85, dots=T, col='gray10', lty=2)
The argument to survplot should be a cph or psm or survfit object (or
a survest result on a psm object).
My ap
On Mon, 26 Oct 2009 15:10:42 -0700
Frank E Harrell Jr wrote:
> > survplot(survest(fit.example1), n.risk=T, conf='none',
> > cex.n.risk=.85, dots=T, col='gray10', lty=2)
>
> The argument to survplot should be a cph or psm or survfit object (or
> a survest result on a psm object).
My apologies, al
Aric Gregson wrote:
On Mon, 26 Oct 2009 13:21:23 -0700
Frank E Harrell Jr wrote:
Please send exact code for an example that fails. If possible,
generate the data using a simple simulation to make the example
reproducible.
endtime <- c(251,753,753,791,732,1081,184,713,674,732,254,
644,782,75
On Mon, 26 Oct 2009 13:21:23 -0700
Frank E Harrell Jr wrote:
> Please send exact code for an example that fails. If possible,
> generate the data using a simple simulation to make the example
> reproducible.
endtime <- c(251,753,753,791,732,1081,184,713,674,732,254,
644,782,753,278,184,715,832,
Aric Gregson wrote:
Hello,
I apologize for the post as I am certainly overlooking a simple
solution to my difficulties with getting a legend to print on a
survplot from the rms package.
I am plotting the following:
survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T,
col='gra
Hello,
I apologize for the post as I am certainly overlooking a simple
solution to my difficulties with getting a legend to print on a
survplot from the rms package.
I am plotting the following:
survplot(survest(fita), n.risk=T, conf='none', cex.n.risk=.85, dots=T,
col='gray10', lty=2)
survplot(
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