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...> Turning it on does more than slightly increase the object file size, it can > cause the same source line to be listed multiple times in the .debug_line > table (with different column numbers). This can be confusing to debuggers > that ignore column info, or possibly to the users who expect “set breakpoint > on line 12” to set one breakpoint and it actually sets 4. “How come nothing > happens when I hit Continue?” Yes. David is testing the gdb testsuite to see whether that's a real problem. If that's a problem, it should show there (since GCC does not emit column info...

R Users: I am trying to estimate a model of fertility behaviour using birth history data with maximum likelihood. My code works but is extremely slow (because of several for loops and my programming inefficiencies); when I use the genetic algorithm to optimize the likelihood function, it takes several days to complete (on a machine with Intel Core 2 processor [2.66GHz] and 2.99 GB RAM). Computing

Hello All, As part of my clang/LLVM experiments and explorations with different clang-built kernel versions, I have tried to bring up other Linux/Ubuntu applications with their kernel modules also being clang-built. One such case has been with VMware Player 14.1.1. I am sharing this report for interested people that highlights my research...

Dear R users, I used to "OPTIM" to minimize the obj. function below. Even though I used the true parameter values as initial values, the results are not very good. How could I improve my results? Any suggestion will be greatly appreciated. Regards, Kathryn Lord #------------------------------------------------------------------------------------------ x = c(0.35938587,

Dear R users, I used to "OPTIM" to minimize the obj. function below. Even though I used the true parameter values as initial values, the results are not very good. How could I improve my results? Any suggestion will be greatly appreciated. Regards, Kathryn Lord #------------------------------------------------------------------------------------------ x = c(0.35938587,

Dear R users, I have a response variable in a csv file called "y" and a matrix of predictor variables in a csv file called "mat". I have used the function "nls" I have specified the nonlinear relation between these variable.The code I have witten is called Rprog which begins with the phrase: L.minor.m1<-nls(Y~a ....etc.. The program when I execute the program, I

I'm very new to R and am trying to create my first loop. I have: x <-c(0:200) A <- dpois(x,exp(4.5355343)) B <- dpois(x,exp(4.5355343 + 0.0118638)) C <- dpois(x,exp(4.5355343 -0.0234615)) D <- dpois(x,exp(4.5355343 + 0.0316557)) E <- dpois(x,exp(4.5355343 + 0.0004716)) F <- dpois(x,exp(4.5355343 + 0.056437)) G <- dpois(x,exp(4.5355343 + 0.1225822)) and would like to

Hello All, This is about my successful experience in bringing up Ubuntu 17.10 x86_64 on the clang-built Linux 4.15.7 kernel(latest stable as of early March 2018) and clang-built proprietary Nvidia 390.25(latest as of early March 2018) driver for my Nvidia GTX GeForce 860M graphics card. I wanted to share the same here for any similarly inter...

LLVMers, The LLVM 2.1 pre-release version2 is now available: http://llvm.org/prereleases/2.1/version2/ You can help test this pre-release by doing one of the following: 1) Download llvm-2.1, llvm-test-2.1, and the appropriate llvm-gcc4.0 binary. Run "make check" and the full llvm-test suite (make TEST=nightly report). 2) Download llvm-2.1, llvm-test-2.1, and the llvm-gcc4.0 source.

...exp ... Running /home/jo/Delta/llvm/test/Transforms/StripSymbols/dg.exp ... Running /home/jo/Delta/llvm/test/Transforms/TailCallElim/dg.exp ... Running /home/jo/Delta/llvm/test/Transforms/TailDup/dg.exp ... Running /home/jo/Delta/llvm/test/Verifier/dg.exp ... === Summary === # of expected passes 2518 # of unexpected failures 2 # of expected failures 7 make[1]: *** [check-local] Fehler 1 make[1]: Verlasse Verzeichnis '/home/jo/Delta/llvm/test' make: *** [check] Fehler 2 jo at kurier:~/Delta/llvm/test$

Among others, datam contains the columns: logconc, tm, dose, subj, bilirubin. None of these are factor variables. The following compartment models work (the first still has not converged after 100 interations): res1 <- nlme(logconc~p2+p3+log(dose/(exp(p1)-exp(p2))* (exp(-exp(p2)*tm)-exp(-exp(p1)*tm))),start=list(fixed=c(5,-2,-0.1)), fixed=list(p1+p2+p3~1),control=list(maxIter=100),

Dear R, I have two questions: 1, Why both R and Matlab give 0*Inf==NaN? To my knowledge, it should be zero mathematically. Am I right? 2, I need to calculate e.g. exp(a)/(exp(b)+c), where both a and b are very large numbers (>>1000, e.g a=1000, b=1007, and c=5). R gives me NaN when I use the following command: > exp(1000)/(exp(1007)+5) [1] NaN I am pretty sure this should be close to

Dear listers, I am trying to fit a model using nlsList() using alternately a SSfol() selfstart function or its developped equivalent formulae. This preliminary trial works well mydata<-groupedData(Conc~Tps|Organ,data=mydata) mymod1<-nls(Conc~SSfol(Dose,Tps,lKe,lKa,lCl),data=mydata) as well as a developped form: mymod2<-nls(Conc~Dose * exp(lKe+lKa-lCl) *

...f (TREE_CODE(lhs) == COMPONENT_REF) if (const StructType *STy = dyn_cast<StructType>(ConvertType(TREE_TYPE(TREE_OPERAND(lhs, 0))))) @@ -3157,7 +3168,7 @@ Value *TreeToLLVM::EmitVIEW_CONVERT_EXPR LValue LV = EmitLV(Op); assert(!LV.isBitfield() && "Expected an aggregate operand!"); bool isVolatile = TREE_THIS_VOLATILE(Op); - unsigned Alignment = expr_align(Op) / 8; + unsigned Alignment = LV.getAlignment(); EmitAggregateCopy(Target, MemRef(LV.Ptr, Alignment, isVolatile), TREE_TYPE(exp)); @@...

Dear All,   #I have the following code   Dose<-1000 Tinf <-0.5 INTERVAL <-8 TIME8 <-matrix(c((0*INTERVAL):(1*INTERVAL))) TIME7 <-matrix(c((0*INTERVAL):(2*INTERVAL))) TIME6 <-matrix(c((0*INTERVAL):(3*INTERVAL))) TIME5 <-matrix(c((0*INTERVAL):(4*INTERVAL))) TIME4 <-matrix(c((0*INTERVAL):(5*INTERVAL))) TIME3 <-matrix(c((0*INTERVAL):(6*INTERVAL))) TIME2

I have assayed the concentrations of various metal elements in different anatomic regions of two strains of mice. Now, for each element, in each region, I want to do a t test to find whether there is any difference between the two strains. Here is what I did (using simulated data as an example): # create the data frame > elemconc = data.frame(expand.grid(id=1:3, geno=c('exp',

Hi I?m trying to fit a nonlinear model to a derivative of the logistic function y = a/(1+exp((b-x)/c)) (this is the parametrization for the SSlogis function with nls) The derivative calculated with D function is: > logis<- expression(a/(1+exp((b-x)/c))) > D(logis, "x") a * (exp((b - x)/c) * (1/c))/(1 + exp((b - x)/c))^2 So I enter this expression in the nls function:

Hi, Am i doing something silly here in expecting Euler's formula to be handled by exp? exp( ix ) = cos x + i sin x. The first example below follows this, the others not. Thanks for the education! > exp( complex(real = 0, imag = 2*pi) ) [1] 1-0i > exp( complex(real = pi, imag = 2*pi) ) [1] 23.14069-0i > exp( complex(real = p...

Dear R-user, I am trying to use the R "nlme" function to fit a non linear mixed effects model. The model I wand to fit is an individual somatic growth model with 4 parameters. For all parameters both fixed and random effects have to be estimated, as well as their covariance matrix (see the formula bellow). The data are simulated with the same growth model as in the nlme, with know

...waymack at nsgdv.com> wrote: > > Hi all, > > > > I have a volume where the output of volume heal info shows several gfid > entries to be healed, but they?ve been there for weeks and have not > healed. Any normal file that shows up on the heal info does get healed as > expected, but these gfid entries do not. Is there any way to remove these > orphaned entries from the volume so they are no longer stuck in the heal > process? > > > > Thank you! > > > _______________________________________________ > Gluster-users mailing list > Gluste...