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Hello, I would like to get help on the instalation of R. I have too few free space in my pc hard disk. So I wonder if it is possible to install R on an external removable hard drive. Can it be done? How should I proceed? Thank you for your help. best regards, Francisca A. S. dos Santos Bronner -- ---------------------------------------------------------------------------------------------------- Francisca Ana Soares dos Santos 2000 - 2004: B.Sc. em Ciências Biológicas pela UFV (M.G., Brasil) 2005 - 2007: M.Sc. em Modelagem Computacional com ênfase em Bioinformática e Biologia Computac...

...o use only those CPU capabilities. After a restart, I verified that the kernel correctly identified the configured CPU type and flags. Does anyone have an idea how I can go about debugging the issue? Or has anyone experienced this issue and found a solution? Cheers, Sebastian -- *Sebastian J. Bronner* Administrator D9T GmbH - Magirusstr. 39/1 - D-89077 Ulm Tel: +49 731 1411 696-0 - Fax: +49 731 3799-220 Gesch?ftsf?hrer: Daniel Kraft Sitz und Register: Ulm, HRB 722416 Ust.IdNr: DE 260484638 http://d9t.de - D9T High Performance Hosting info at d9t.de

Using R 2.10 on Windows: I have a filtered database of 650k event observations in a data frame with 20+ variables. I'd like to be able to quickly generate estimate and plot survival curves. However the survfit and cph() functions are extremely slow. As an example: I tried results.cox<-coxph(Surv(duration, success) ~ start_time + factor1+ factor2+ variable3, data=filteredData) #(took a

Using R 2.10 on Windows: I have a filtered database of 650k event observations in a data frame with 20+ variables. I'd like to be able to quickly generate estimate and plot survival curves. However the survfit and cph() functions are extremely slow. As an example: I tried results.cox<-coxph(Surv(duration, success) ~ start_time + factor1+ factor2+ variable3, data=filteredData) #(took a