[R] Coxme time-dependent covariate
Hi all, I am using the coxme function to fit random effects survival models. The base survival models show a typical J shaped curve where survival drops sharply then plateaus over time interval. I want to include a time covariate which could account for this non-linear decrease in survival over time. However, I have not found a clear way to do this in the coxme models. Any suggestions would be greatly appreciated. Below is some sample code and data. -Jared selection=coxme(Surv(start,stop,status)~prob+(1|year); fawn status start stop prob year 3 0 0 86 0.83 2009 4 1 0 9 0.6 2009 5 0 0 355 0.63 2009 6 1 0 6 0.52 2010 7 0 0 68 0.79 2010 8 0 0 354 0.69 2010 9 1 0 3 0.72 2010 10 1 0 4 0.77 2010 11 1 0 12 0.62 2010 13 0 0 82 0.7 2011 14 1 0 7 0.67 2011 15 1 0 74 0.49 2011 16 0 0 351 0.64 2011 17 0 0 351 0.74 2011 18 0 0 82 0.72 2011 19 1 0 342 0.69 2011 [[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.
[R] Change x-axis intervals and labels on cox.zph plot
Hi all, The plot.cox.zph function automatically plots the x-axis, but I would like to change the intervals and labels of my cox.zph plots to 0, 50,100,150, 200. However, I cannot get the function to do so. I tried using the axis(... function, but that did not override the existing plot labels. Below is my code and attached example plots which I am trying to modify. Thank you in advance for your consideration and assistance. #plot.cox.zph code iw.zph=cox.zph(idealweather); par(mfrow=c(2,1),ann=F,mar=c(3.2,3.5,1.2,0.5),mgp=c(1.7, 0.6, 0),cex.axis=1.1,cex.lab=1.2,cex=0.9,pch=16,family=serif,col.axis=1); plot.cox.zph(iw.zph); title(ylab=scaled Schoenfeld,xlab=Time (days)); [[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.
