similar to: plot.window arguments being ignored?

Hi, I'm trying to use mars function in R to interpolate nonlinear multivariate functions. However, it seems that mars gives me a fit which uses only very few basis function and it underfits very badly. For example, I have tried the following code to test mars: require("mda") f <- function(x,y) { x^2-y^2 }; #f <- function(x,y) { x+2*y }; # Grid x <-

Is there any real advantage to using 64 bit when I am right at the 4gb ram threshhold? Nice plans to add more ram. The machine will just be a backup machie (rsync). Thanks in advance. D

I''ve opened up development of Shorewall 4.1. While I had previously announced that Shorewall 4.1 would focus on IPv6, I have since learned that the netfilter team are developing ''xtables'', a unified IP0v4/IPv6 utility. It seems silly to spend the effort to add Shorewall support for IPv6 only to then have to turn around and convert it to use xtables. So I''ve

Not sure what you mean. I.OutOperandList == (outs CPU16Regs:$rx) I.InOperandList == (ins CPU16Regs:$ry, CPU16Regs:$rz) On 07/02/2012 09:26 PM, Sean Silva wrote: > I think you're missing the template args for `FRRR16_ins` in the first > argument. The switch in TGParser::ParseType() doesn't cover the case > of types with template args though... which makes me wonder what is

I think that what I did originally should have worked and the bug was correct as I reported it. Here is an alternate implementation which has the same problem. class ArithLogicRTest16<string I, SDNode OpNode, bit isComm = 0>: FRRR16<!cast<FRRR16_ins>(I).f, !cast<FRRR16_ins>(I).OutOperandList, !cast<FRRR16_ins>(I).InOperandList,

Hello, I am interested in fitting a generalized nonlinear regression (gnlr) model with negative binomial errors. I have found Jim Lindsay's package that will do gnlr, but I have having trouble with the particular model I am interested in fitting. It is a threshhold model, where below a certain value of one of the parameters being fitted, the model changes. Here is a sample: Cones:

Hi people, I want to obtain the adjusted r-square given a set of coefficients (without the intercept), and I don't know if there is a function that does it. Exist???????????????? I know that if you make a linear regression, you enter the dataset and have in "summary" the adjusted r-square. But this is calculated using the coefficients that R obtained,and I want other coefficients

I've filed the following bug. Maybe I'm doing something stupid here or maybe someone knows of a workaround. The following fragment from mips16 (not yet checked into main source). The problem is that I should be able to pass parameters: I.OutOperandList, I.InOperandList But instead, I must back substitute what I know the values of these are. (outs CPU16Regs:$rx), (ins CPU16Regs:$ry,

class FRRR16_ins<bits<2> _f, string asmstr, list<dag> pattern, InstrItinClass itin> : // ... This class has template args. You don't specify them in the first template arg of class ArithLogicR16<FRRR16_ins I, SDNode OpNode, bit isComm = 0>: // ... --Sean Silva On Tue, Jul 3, 2012 at 2:29 PM, reed kotler <rkotler at mips.com> wrote: > Not sure what you mean.

On Thursday 08 May 2008 18:33:48 Adrian Prantl wrote: > we noticed that llvmgcc4.2-2.2 sometimes generates non-natural loops > when compiling to bytecode without any optimizations. Apparently what > happens is that the loop header is duplicated, which results in two > entry points for the loop. this is actually a problem with the tailduplication pass of llvm. it does not consider

This variant works: class ArithLogicRTest16<string I, SDNode OpNode, bit isComm = 0>: FRRR16<!cast<FRRR16_ins>(I).f, (outs CPU16Regs:$rx), (ins CPU16Regs:$ry, CPU16Regs:$rz), // !cast<FRRR16_ins>(I).OutOperandList, // !cast<FRRR16_ins>(I).InOperandList, !cast<FRRR16_ins>(I).AsmString, [(set CPU16Regs:$rx,

Hello, maybe that my Question is a "beginner"-Question, but up to now, my research didn't bring any useful result. I'm trying to fit a distribution (e.g. lognormal) to a given set of data (ML-Estimation). I KNOW about my data that there is a truncation for all data below a well known threshold. Is there an R-solution for an ML-estimation for this kind of data-problem? As

In the example: x = rep(c(0,0,1,1),4) y = rep(c(0,1,0,1),4) z = c(1,0,1,0,0,0,1,1,0,1,0,0,1,1,1,1) f = as.factor(c(rep("a",4),rep("b",4),rep("c",4),rep("d",4))) levelplot(z~x+y|f,data.frame(x=x,y=y,z=z,f=f)) I noted that the last ("d") plot remains empty. I guess the reason for this is that the values are constant (1), but I consider it more

Hello everybody, we noticed that llvmgcc4.2-2.2 sometimes generates non-natural loops when compiling to bytecode without any optimizations. Apparently what happens is that the loop header is duplicated, which results in two entry points for the loop. Since this could obstruct subsequent loop optimizations, it might be interesting to further investigate this behavior. To show the problem, I have

This is a continuation/evolution of what I've been trying to do, get some response from my controller(s) in Guitar Hero 3. I compiled wine (with some help :) and manually copied the dinput_test.exe.so file into my /usr/lib32/wine directory and made it's permissions match the other exe.so files (644). I then run the test to see if dinput is seeing/reacting to my controller, and it seems

> From owner-icecast@xiph.org Wed May 5 16:50:59 2004 > Are you complaining that your station is too popular, or that ghost > clients aren't being disconnected for some reason, but no one is > actually listening? Sure, there are clients actually listeing too, but I do not beleive that some are listening for hundreds of hours :) What I would like is a 6 to 12 hours max connection

I think you're missing the template args for `FRRR16_ins` in the first argument. The switch in TGParser::ParseType() doesn't cover the case of types with template args though... which makes me wonder what is going on inside of TableGen to make `I.f` and `I.AsmString` valid... --Sean Silva On Mon, Jul 2, 2012 at 8:07 PM, reed kotler <rkotler at mips.com> wrote: > I've filed

Hello Mongrel Users, I''m writing a web server called Ebb. It''s written in C, makes use of the Mongrel HTTP parser, and uses libev its event loop. The goal is to be small, fast, and language independent server that can host web frameworks. I have written a small Ruby binding which provides a Rack handler - this will allow Ebb to host Rails, Merb, and other Ruby frameworks. In the

Hello, I am an R newbie, trying to use lsoda to solve standard Lotka-Volterra competition equations. My question is: how do I pass a parameter that varies with time, like say, phix <- 0.7 + runif(tmax) in the example below. # defining function lotvol <- function(t,n,p){ x <- n[1]; y <- n[2] rx <- p["rx"]; ry <- p["ry"] Kx <-

Trunk Issue: Because of the use of ''autoload'', template handlers other than Erubis are not loaded automatically (Haml, XMLBuilder). Either this should be fixed, or the documentation should be updated to instruct people how to use non-Erb template engines. Apparently the solution is to do something like this in merb_init.rb: ::Merb::AbstractController.register_engine