Its a very nice document. Here is the link: http://cran.r-project.org/doc/contrib/Owen-TheRGuide.pdf -- View this message in context: http://www.nabble.com/new-version-of-%22The-R-Guide%22-available-on-CRAN-tf2146496.html#a5926389 Sent from the R help forum at Nabble.com.

### Re: [R] Books

Dear Anderson, I'd highly recommend Modern Applied Statistics with S (4th Ed., by WN Venables BD Ripley). This has lots and lots of material on the topics of your interest. Best wishes Paul -- View this message in context: http://www.nabble.com/Books-t1807065.html#a4926486 Sent from the R

### Re: [R] PowerPoint

Most useful: the Ungroup command in ppt lets you take apart the graph when you insert it as wmf. I often resort to that when I want to change labels / fonts / colours etc. Very flexible. -- View this message in context: http://www.nabble.com/PowerPoint-t1835745.html#a5016074 Sent from the R

### Re: [R] Extracting approximate Wald test (Chisq) from coxph(..frailty)

Assign the output of coxph to some object, and use the \$ extractor function to obtain what you need. ie: rtfm - coxph(formula = Surv(time, status) ~ age + sex + disease + frailty(id, dist = gauss), data = kidney) Age - coef(rtfm)[age] OR Sex - rtfm\$coef[sex] Hope this helps. Paul Mohammad

### [R] omit y=zero line in histogram

Dear all, hist ( ) plots a horizontal line at y=0 when the respective bin is empty. I can deal with this by modifying the hist object before plotting it (x\$density[x\$density == 0] - NA), but I'm sure I've seen a more elegant way. Perhaps this was in truehist (MASS). I have looked but can't find

### Re: [R] omit y=zero line in histogram

Reply to self: set border=NA, stupid. Paul Artes wrote: Dear all, hist ( ) plots a horizontal line at y=0 when the respective bin is empty. I can deal with this by modifying the hist object before plotting it (x\$density[x\$density == 0] - NA), but I'm sure I've seen a more elegant way

### Re: [R] Venn diagram

I'm really glad to see this topic come up. Area-proportional Venn diagrams are a phantastic way to visualize agreement. For the 2-rater scenario this is straightforward; here are two examples from my own work that were done in R. (I'm far too embarrassed to enclose the code).