similar to: building a formula for glm() with 30,000 independent vari ables

I would like to use R to perform a logistic regression with about 30,000 independent variables. That's right, thirty thousand. Most will be irrelevant: the intent is to use the regression to identify the few that actually matter. Among other things, this calls for giving glm() a colossal "y ~ ..." formula with thirty thousand summed terms on its right hand side. I build up the

I am trying to add a Samba 2.0.7 box to an existing domain. The Samba box will not be a domain controller; it's just going to be a nondescript member of the domain. The primary domain controller is running Windows 2000, but is also configured to emulate an NT4 PDC. Our system administrators did their side of things, and told me that user "domain\liblit" now has permission to add

Hi, Ben, As Will suggested, try the TD pass, not EQTD, and see if that works better for you. Having said that, DSA currently doesn't do well with vtables. It is not a fundamental limitation of the algorithm itself and we think we know how to improve it, so if those are important to you, let me know. DSA is indeed a unification-style analysis, not inclusion based. It is partially context

Graphically, you can use coplot() or lattice to see how the relationship between height and weight changes with age. With a linear model, you can do something like: lm(height ~ weight * age, ...) and work out the interpretation of the coefficients. HTH, Andy > From: Peter Tait > > Hi, > > I want to look at the relationship between 2 > continuous/quantitative variables

Hello, I'm implementing a custom Haskell-to-LLVM compiler, and in my experimentation, noticed that GHC is much slower than clang certain examples, such as the ackermann function. However, from reading their respective IRs (Cmm for GHC and LLVM for clang), I don't really see much of a difference. Here is a link to the numbers. (n, m) are the parameters to the ackermann function

Dear Experts, May be the problem is still solved, however I tried to find the answer in the archives: I use: > R.version _ platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 7.1 year 2003 month 06 day 16

As suggested in my earlier message, I have a large population of independent variables and a binary dependent outcome. It is expected that only a few of the independent variables actually contribute to the outcome, and I'd like to find those. If it wasn't already obvious, I am *not* a statistician. Not even close. :-) Statistician colleagues have suggested that I use logistic

Dear all, I'm working with Cox-regression, because data could be censored. But in this particular case not. Now I have a simple example: PRO and PRE are (0,1) coded. The response is not normal distributed. We are interested in a model which could describe interaction. But my results are depending strongly in the choose of the contrast option. It is clear that there is some dependence in

Hi, I'm using: platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 5.1 year 2002 month 06 day 17 language R and I would like to apply: > update.packages() trying URL

Summary: proc mixed vs. lme The objective of this summary is to help people to get more familiar with the specification of random effects with proc mixed or lme. Very useful are the examples of Ramon Littell's book: "SAS System for Mixed Models (1996)" (http://ftp.sas.com/samples/A55235) The same data set's are kindly made available by Douglas Bates in the

On Tue, Aug 9, 2011 at 6:19 PM, Ben Liblit <liblit at cs.wisc.edu> wrote: > I am using EQTDDataStructures (from the poolalloc project) to resolve > indirect function calls to over-approximated sets of possible callees. If I remember correctly, it only tries to resolve indirect calls. The analysis doesn't track direct calls because you can do it just as well yourself. Andrew

On Wed, Aug 10, 2011 at 10:37 AM, Ben Liblit <liblit at cs.wisc.edu> wrote: > Equally strange: if I comment out the "base->virt();" call, then DSCallGraph > *does* give the expected answer that "(unknown ? red : blue)()" could call > either red() or blue() but not Base::virt(). Somehow having that > vtable-based call present forces the other call to be

Dear All, Comparing linear mixed effect models in SAS and R, I found the following discrepancy: SAS R random statement random subj(program); random = ~ 1 | Subj -2*loglik 1420.8 1439.363 random effects variance(Intercept) 9.6033 9.604662

On Tue, Aug 9, 2011 at 10:45 PM, Ben Liblit <liblit at cs.wisc.edu> wrote: > Andrew Lenharth wrote: >> If I remember correctly, it only tries to resolve indirect calls.  The >> analysis doesn't track direct calls because you can do it just as well >> yourself. > > DSCallGraph::callee_begin() and DSCallGraph::callee_end() cooperate to > iterate over an empty

On Wed, Aug 10, 2011 at 1:39 PM, Ben Liblit <liblit at cs.wisc.edu> wrote: > The first of those two calls is a vtable dispatch; the ideal answer would be > Base::virt() const and Derived::virt() const, without red() and blue(). >  Still, vtable lookups are complex, so I could imagine an over-approximation > here. > > The second of those two calls is just a non-deterministic

Using ssh-keygen from OpenSSH-2.9p1, I can perform the following key conversions: - convert a commercial public key into an OpenSSH public key: % ssh-keygen -i -f commercial-key.pub > openssh-key.pub - convert a commercial private key into an OpenSSH private key, provided that the commercial key has no password % ssh-keygen -i -f commercial-key > openssh-key -

I am using EQTDDataStructures (from the poolalloc project) to resolve indirect function calls to over-approximated sets of possible callees. Unfortunately I find that it yields incorrect results even on a very simple test input. My LLVM and poolalloc sources are Subversion trunk checkouts, no more than a day older than the current trunk head. My test input is the following C source,

Andrew Lenharth wrote: > If I remember correctly, it only tries to resolve indirect calls. The > analysis doesn't track direct calls because you can do it just as well > yourself. DSCallGraph::callee_begin() and DSCallGraph::callee_end() cooperate to iterate over an empty set (EmptyActual) for any call site not found in the ActualCallees map. So if direct calls are not tracked,

Dear R-helpers, First of all I have nothing against the French language! But now my problem, yesterday I installed R 2.1.1 and I had to experience that my RGui is speaking French. My windows locals is French (Switzerland). I'm used to English and I want to reset my RGui to English. I was seeking for the solution in the archives, however not successfully. By the way the searchable archives

On Thu, Aug 11, 2011 at 11:10 AM, Ben Liblit <liblit at cs.wisc.edu> wrote: >        volatile int unknown; > >        static void red() { } >        static void blue() { } > >        int main() >        { >          (unknown ? red : blue)(); >          return 0; >        } > > If I save this as "test.c", compile it with clang, and run my