Re: [R] bootstrapped cox regression (rms package)

Hi Frank, My apologies for not posting the entire script - I have repasted it below. library(rms) library(foreign) temp=read.spss('coxdata.sav', to.data.frame=T) formula=Surv(months, recidivate) ~ fac1 + fac2 + fac3 + fac4 + fac5 + fac6 + fac7 + fac8 fit=cph(formula, data=temp, x=T, y=T) val.ou

Re: [R] bootstrapped cox regression (rms package)

Hi Frank, Below is the actual output from the anova(out) command. I had copied in the p-values and from the previous output from anova(out) and the confidence intervals from print(quantile(out$boot.Coef[,i], c(.025, .975))) to illustrate that the confidence intervals were similar to SPSS while the

[R] bootstrapped cox regression (rms package)

Hi, I am trying to convert a colleague from using SPSS to R, but am having trouble generating a result that is similar enough to a bootstrapped cox regression analysis that was run in SPSS. I tried unsuccessfully with bootcens, but have had some success with the bootcov function in the rms package

[R] problems with bigmemory

e command is continuing to work (despite using 0% CPU) or if it has crashed or if I am just being too impatient! I am running version 2.10.0 of R with version of 3.12 of bigmemory on a Linux server with 8 cores and 24 GB of RAM. Any help/advice would be greatly appreciated! Thanks, Eric Claus __