You might consider a probit analysis using ln(Time) as the "dose".
At 09:24 AM 9/4/2008, [EMAIL PROTECTED] wrote:
> I have a survivor curve that shows account cancellations during the > past 3.5 months. Â Fortunately for our business, but unfortunately > for my analysis, the survivor curve doesn't yet pass through 50%. > Â Is there a safe way to extend the survivor curve and estimate at > what time we'll hit 50%? Without any example code it's hard to say, but take a look at ?predict.coxph and ?predict.survreg in the survival package. Regards, Richie. Mathematical Sciences Unit HSL
================================================================ Robert A. LaBudde, PhD, PAS, Dpl. ACAFS e-mail: [EMAIL PROTECTED] Least Cost Formulations, Ltd. URL: http://lcfltd.com/ 824 Timberlake Drive Tel: 757-467-0954 Virginia Beach, VA 23464-3239 Fax: 757-467-2947 "Vere scire est per causas scire" ================================================================ ______________________________________________ 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.
