search for: extravagant

...c(-69.2, -69.5, -70.1, -70.3) lat<-c(41, 41.5, 43.2, 42.8) plot(long, lat) map('state', c("massachusetts"),add=TRUE) but is it possible with lattice? library(lattice) factor<-c(1,1,2,2) xyplot(lat~long|fact) ...now what? I have looked at panel and found through google an extravagant shape file export/import to R. Is there a simpler fix? Thank you very much for your help. Jon School for Marine Science and Technology UMASS-Dartmouth [[alternative HTML version deleted]]

I responded to a post in the Dell poweredge mailing list earlier today. My answer was off the top of my head, with a bit of experimentation. The content may be useful in the Cenyos context as well to admin's looking to strip the size of an install to the bare bones. Comment welcomed. Can anyone see any packages which I have missed? -- Russ Herrold ---------- Forwarded message

Hi just a little question. Can I boot FreeBSD over network with pxelinux ?

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Hi, I'm currently at CentOS 5.8. I'm using openssl version openssl-0.9.8e-22.el5. The following vulnerability was reported by a Nessus security scan: "SSL/ TLS Renegotion Handshakes MiTm Plaintext Data Injection" As per following link, Redhat has introduced openssl-0.9.8m which fixes this specific issue:

On Wed, May 15, 2013 at 9:46 PM, Chris Lattner <clattner at apple.com> wrote: > It's not clear to me that "builtin" is the right way to model this, but it > definitely sounds like this should be an attribute on a call site (as > opposed to on the function itself). What specific kinds of optimizations > are we interested in doing to _Znwm calls? You can see the

Dear R Gurus, As you probably know, dist calculates the distance between every two rows of data. What I am interested in is the actual two rows that have the least distance between them, rather than the numerical value of the distance itself. For example, If the minimum distance in the following sample run is d[14], which is .3826119, and the rows are 4 & 6. I need to find a generic way to

On May 15, 2013, at 8:44 PM, Richard Smith <richard at metafoo.co.uk> wrote: > On Wed, May 15, 2013 at 8:28 PM, Richard Smith <richard at metafoo.co.uk> wrote: > On Wed, May 15, 2013 at 7:49 PM, Chandler Carruth <chandlerc at google.com> wrote: > On Wed, May 15, 2013 at 8:31 PM, Richard Smith <richard at metafoo.co.uk> wrote: > Hi, > > LLVM classifies

Hi, This is not meant to be critical of R, but is intended as a possible source for improvements to R. SAS needs the competition. I am reasonably knowledgeable about R SAS-(all products including IML) SAS and R run on Windows(all flavors) UNIX(all flavors) Apple OSs Does R run on natively (no emulation)? We have quite a few users on these systems VAX-VMS Z-OS (mainframe) MVS VM/CMS(IBM)

I know this is a bit off topic but we are using Asterisk :) Since this list is full of tech gurus w/ all different sorts of backgrounds, I thought I would get the best opinions here. We have several different switches and other telecom equipment at our facilities which all have their own proprietary cdr platforms, which are rather limited. The company I work for is looking to develop their

I've updated the patches at http://ozlabs.org/~rusty/paravirt/?mf=33ba6c4fce13;path=/ to carve out the basic shape of how I see all this fitting together. These patches implement an initial set of Xen paravirt ops, as well as adapting head.S to set up a Xen-specific entrypoint. The head.S code does absolutely minimal setup, and then calls xen_start_kernel(). This installs the Xen