Thank you. But the problem with the "relsurv" package remains: when I try to use the function "rsmul" following the package example, it give me an error (Error in nrow(x) : object "x" not found). There are perhaps others packages to fit relative survival models ?
Giulia ----- Original Message ---- From: Prof Brian Ripley <[EMAIL PROTECTED]> To: Yihui Xie <[EMAIL PROTECTED]> Cc: Giulia Barbati <[EMAIL PROTECTED]>; r-help@r-project.org Sent: Wednesday, September 10, 2008 11:44:43 AM Subject: Re: [R] relsurv package On Wed, 10 Sep 2008, Yihui Xie wrote: > For the second question, try something like: > >> strptime('12/4/1996','%M/%d/%Y') > [1] "1996-09-04 00:12:00" > # only date? >> as.Date(strptime('12/4/1996','%M/%d/%Y')) > [1] "1996-09-04" Why not > as.Date('12/4/1996', format = '%m/%d/%Y') [1] "1996-12-04" ? (And note the typo in your solution and hence incorrect answer.) > > Yihui > > On Wed, Sep 10, 2008 at 4:22 PM, Giulia Barbati <[EMAIL PROTECTED]> wrote: >> >> Dear R-users, >> >> I have a couple of questions about the relsurv package: >> >> 1) when I try to run the example: >> >> fit <- >> rsmul(Surv(time,cens)~sex+as.factor(agegr)+ratetable(age=age*365.24,sex=sex,year=year),ratetable=slopop,data=rdata) >> >> with the datasets in the package (rdata and slopop) it gives me an error: >> >> Error in nrow(x) : object "x" not found >> >> 2) >> If I have a date format like:"6/17/1997 " "9/10/1990 " "12/4/1996 " how >> to convert it in the Rdate format required by ratetable? >> >> Thank you very much for help, >> >> Giulia >> >> >> > > -- > Yihui Xie <[EMAIL PROTECTED]> > Phone: +86-(0)10-82509086 Fax: +86-(0)10-82509086 > Mobile: +86-15810805877 > Homepage: http://www.yihui.name > School of Statistics, Room 1037, Mingde Main Building, > Renmin University of China, Beijing, 100872, China > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.