Thanks for answering.
I had already tested to split the expression but there is still a problem with 
the function survfit(). Nevertheless this expression works with R, but I have 
to implement it with python. Indeed, I am trying to create a software for 
survival analysis using python language...
 
>>> s=r.Surv(t,d)>>> ss=r.survfit(s)Traceback (most recent call last):  File 
>>> "<interactive input>", line 1, in ?RPy_RException: Erreur dans parse(text = 
>>> paste(deparse(call[[2]]), 1, sep = "~")) :   unexpected numeric constant 
>>> dans :"structure(c(6L, 6L, 6L, 6L, 6L, 9L, 9L, 9L, 12L, 12L, 12L, 12L, 
>>> ~112L"
 
and obviously, I get then :
 
>>> survPlot = r.get("plot.survfit", envir=r.getNamespace("survival"))>>> 
>>> survPlot(sf)Traceback (most recent call last):  File "<interactive input>", 
>>> line 1, in ?NameError: name 'sf' is not defined
 
Lore.
 


> Date: Wed, 27 Feb 2008 11:48:12 +0100> From: [EMAIL PROTECTED]> To: 
> rpy-list@lists.sourceforge.net> Subject: Re: [Rpy] package : survival> > 
> 2008/2/27, Lore Merdrignac <[EMAIL PROTECTED]>:> >> > Hi,> > I have already 
> posted a first problem of "NO_CONVERSION" with the package> > SURVIVAL. But I 
> still have a problem by using the function survfit() of the> > package.> > 
> Here is the code :> >> > >>> from rpy import *> > >>> r.library("survival")> 
> > >>> set_default_mode(NO_CONVERSION)> > >>> d=r.rep(1,41)> > >>> t=r.c( 
> r.rep(6,5), r.rep(9,3) , r.rep(12,24), r.rep(15,9) )> > >>> 
> r.plot(r.survfit(r.Surv(t,d)))> > Traceback (most recent call last):> > File 
> "<interactive input>", line 1, in ?> > RPy_RException: Erreur dans parse(text 
> = paste(deparse(call[[2]]), 1, sep => > "~")) :> > unexpected numeric 
> constant dans :> > "structure(c(6L, 6L, 6L, 6L, 6L, 9L, 9L, 9L, 12L, 12L, 
> 12L, 12L, ~1> > 12L"> >> > Is there anything I am doing wrong ? I really need 
> this function to> > complete my survival analysis... I would really 
> appreciate if anyone could> > help me.> > I guess that an emergency solution 
> is to be doing the whole analysis in R.> > Otherwise, you could try splitting 
> up a bit your expression> r.plot(r.survfit(r.Surv(t,d)))> to see better were 
> things are going wrong:> s = r.Surv(t,d)> sf = r.survfit(s)> plot(sf)> > The 
> following has a chance to work (not tested):> survPlot = 
> r.get("plot.survfit", envir=r.getNamespace("survival"))> survPlot(sf)> > > 
> L.> > PS: An alternative to the NO_CONVERSION business might be coming in 
> not-so-long.> > > > Thanks.> >> > Lore.> >> > 
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