similar to: Fucntion scope question. General non-linear solution help.

Dear R users, I?m trying to optimize simultaneously two binomials inequalities (used in acceptance sampling) which are nonlinear solution, so there is no simple direct solution. Please, let me explain shortly the the problem and the question as following. The objective is to obtain the smallest value of 'n' (sample size) satisfying both inequalities: (1-alpha) <= pbinom(c, n, p1)

Full_Name: Chanseok Park Version: R 2.2.1 OS: RedHat EL4 Submission from: (NULL) (130.127.112.89) pbinom(any negative value, size, prob) should be zero. But I got the following results. I mean, if a negative value is close to zero, then pbinom() calculate pbinom(0, size, prob). dbinom() also behaves similarly. > pbinom( -2.220446e-22, 3,.1) [1] 0.729 > pbinom( -2.220446e-8, 3,.1)

hello, My 2nd issue is about acls which are added by "Domain users". May you help me to solve it again ? Concerning this issue, on my samba share, I set permissions for the share "groups" located on /var/datashared for "domain admins" (rwx) and "domain users" (r-x) /var]# getfacl datashared/ # file: datashared/ # owner: root # group: root user::rwx

I noticed this oddity about [ and setMethod. First, I define testFunc, which sorts a data frame by the first column and returns the entries that aren't NAs, and testIt, which runs testFunc repeatedly on a random large data frame, each time saving the return into a dummy placeholder (for demonstration's sake). > require(methods) Loading required package: methods [1] TRUE > testFunc

I noticed this oddity about [ and setMethod. First, I define testFunc, which sorts a data frame by the first column and returns the entries that aren't NAs, and testIt, which runs testFunc repeatedly on a random large data frame, each time saving the return into a dummy placeholder (for demonstration's sake). > require(methods) Loading required package: methods [1] TRUE > testFunc

hi all, i would like insert a fucntion call at the end of each basic bloc the fucntion i have defined and declared at the begining of the module ie i have written a pass derived from a module pass virtual bool runOnModule(Module & M){ // i declared the fucntion and defined it for (Module::iterator a = M.begin(), b = M.end(); a != b; for (Function::iterator i = a->begin(), e =

Hi, I am trying to compile a FORTRAN program to call from R under Windows 7 but I am having problem in the compiling step. To demonstrate this is the program testit.f: ------------------------------------------ subroutine TESTIT(x,n,m) dimension x(n) do 10 i=1,n 10 x(i)=x(i)**m end -------------------------------------------- When I compile it with gfortran I get

Hi List, I am trying to write unsuccessfully to a logfile with cat. Here my example code: letters[1:5]->x logf<-"test.txt" cat('%%%%%%%%%%%%%%%%%%%%%%%%%%\n',file=logf) catf<-function(x,...,logfile='log.txt', append=TRUE){ cat(x,'\n', file=logfile, append=append)} testit<-function(x,...){ paste0('this is x: ',x)->y return(y)

Hi Nabila, > i would like insert a fucntion call at the end of each basic bloc you can't, because only terminators are allowed at the end of a basic block. However you can try to insert the call before the terminator. ... > i tried to see an example with the demo, i saw that it instead of calling the > function, it repeats all the instruction that are existing in the function >

Hi Nabila, > My problem is how to call a method > suppose this fucntion > void A(int x) > { > x=x+1; > > } > > should i define this function and declare it at the beginig of the module and > create for it a basic bloc? you can just declare the function (i.e. no need to give it a body), and call it. You can then link with an object file that defines it. This is

Hi Nabila, > Now when i tried this pass an error says: > Wrong type for attribute noalias > tail call void @consume(i32 noalias 3, i32* @y) nounwind > > > noalias is only for arguments of pointer type. You probably meant it to > be on the second argument rather than the first. I suggest you correct > your code that adds the attribute.

I have defined the fucntion in another object file and linked it to the in fact the fucntion is : void consume(int , int * ); std::vector<Value*> int32_16_params; int32_16_params.push_back(inValue);//inValue is ConstantInt* inValue int32_16_params.push_back(gvar_int32_y); CallInst* int32_16 = CallInst::Create(func_consume, int32_16_params.begin(), int32_16_params.end(), "",

Hi Nabila, > Now when i tried this pass an error says: > Wrong type for attribute noalias > tail call void @consume(i32 noalias 3, i32* @y) nounwind noalias is only for arguments of pointer type. You probably meant it to be on the second argument rather than the first. I suggest you correct your code that adds the attribute. Ciao, Duncan.

2011/4/25 Duncan Sands <baldrick at free.fr> > Hi Nabila, > > > i would like insert a fucntion call at the end of each basic bloc > > you can't, because only terminators are allowed at the end of a basic > block. > However you can try to insert the call before the terminator. > Yes, i mean before the termininator, My problem is how to call a method suppose

2011/4/26 Duncan Sands <baldrick at free.fr> > Hi Nabila, > > > Now when i tried this pass an error says: >> Wrong type for attribute noalias >> tail call void @consume(i32 noalias 3, i32* @y) nounwind >> > > noalias is only for arguments of pointer type. You probably meant it to > be on the second argument rather than the first. I suggest you

Full_Name: Wolfgang Resch Version: R 2.8.1 GUI 1.27 OS: OS X 10.4.11 Submission from: (NULL) (137.187.89.14) Strange behavior of qbinom: > qbinom(0.01, 5016279, 1e-07) [1] 0 > qbinom(0.01, 5016279, 2e-07) [1] 16 > qbinom(0.01, 5016279, 3e-07) [1] 16 > qbinom(0.01, 5016279, 4e-07) [1] 16 > qbinom(0.01, 5016279, 5e-07) [1] 0

Hi, all, I found that the smooth.spline() function produces different results between R and S-Plus. I was trying to play different parameters of the function without any success. The script of the function contains Fortran code, so it seems impossible to port the code from S-Plus to R (or I may be wrong). Can anyone suggest anything so that I can produce the same result in R as in S-plus? Thanks

Dear R users, I would like to adjust the x axis the way I wanted using "forestplot(labeltext, mean, lower, upper, align = NULL, xlab = "", zero = 0, graphwidth = unit(2, "inches"), col = meta.colors(), xlog = FALSE)". I tried using xaxt="n" and then redefine the axis using axis(1, at=c(0,0.5,1.0 ,1.5,2.0,2.5),label=c(0,0.5,1.0,1.5,2.0,2.5)), but it

n_10;p_0.5;jjx_0:n;qbinom(pbinom(jjx,n,p),n,p) # This one works as expected n_100;p_0.5;jjx_0:n;qbinom(pbinom(jjx,n,p),n,p) # This one causes severe problems I cannot interrupt using ESC and I finally have to resort to the Windows Task manager to kill the R session. A friend of mine told me that he faced similar problems under Unix. --please do not edit the information below-- Version:

I am making my first attempts at using some Fortran code with R, and so far it's going OK. To print from my Fortran programs, it seems I need subroutines dblepr, realpr and intpr. From the excellent "Writing R Extensions" document: "Three subroutines are provided to ease the output of information from FORTRAN code. subroutine dblepr(label, nchar, data, ndata)