similar to: subset

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 =

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

i am trying to convert sas file into csv. I used write.csv(a, file="cool.csv") but nothing come out. i don't know why. Thanks. library(Hmisc) a<- sasxport.get("C:\\Users\.....") write.csv(a, file="cool.csv") -- View this message in context: http://r.789695.n4.nabble.com/convert-the-sas-file-into-csv-in-R-tp3311769p3311769.html Sent from the R help mailing

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

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, > 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 >

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

I want to sample from the ID. For each ID, i want to have 2 set of data. I try the sample() function but it didn't work. > x<-data.frame(id=c(1,1,1,2,2,2,2,3,3,3,4,4), v1=c(1:12), V2=c(12:23)) > x id v1 V2 1 1 1 12 2 1 2 13 3 1 3 14 4 2 4 15 5 2 5 16 6 2 6 17 7 2 7 18 8 3 8 19 9 3 9 20 10 3 10 21 11 4 11 22 12 4 12 23 -- View this message in

Dear all, I have the following problem with the uniroot function. I want to find roots for the fucntion "Fp2" which is defined as below. Fz <- function(z){0.8*pnorm(z)+p1*pnorm(z-u1)+(0.2-p1)*pnorm(z-u2)} Fp <- function(t){(1-Fz(abs(qnorm(1-(t/2)))))+(Fz(-abs(qnorm(1-(t/2)))))} Fp2 <- function(t) {Fp(t)-0.8*t/alpha} th <- uniroot(Fp2, lower =0, upper =1,

Dear R helpers Suppose I have a portfolio of securities with exposure to Equity, Bonds and Forex (say $ 1000000 each). Is there any fucntion in R that will help me calculate Value at Risk (VaR) using Monte carlo Simulation , Historic simulation and Variance - Covariance Simulation. With regards Maithili

Dear all, in an LDA analysis with n groups n-1 LD functions result. Implicitly this defines an LD fucntion for the last group. Does there exist code already to explictly construct this LD function? Thanks, Stefan

Hi I have this function and this matrix: function(x,y) x+y/x m<-matrix(c(1,2,4,2,10,8),3,2) > m [,1] [,2] [1,] 1 2 [2,] 2 10 [3,] 4 8 each row represent a point (x,y) in a chart and I want via my fucntion to calculate the image in order to get this results: for point (1,2) I would get 1+2/1 = 3 for point (2,10) I would get 2+10/2 = 7 for point (4,8) I would get

Dear all, I want to solve a score function by using Newton-Raphson algorithm. Is there such a fucntion in R? I know there's one called optim, but it seems only doing minimizing or maximizing. Thanks, Jimmy

Is there a fuction that will allow me to retrun the filename for a script from within that script. fir instance If I have a script "myscript.r": FileName<-unknown.fucntion() print(FileName) and run it source("myscript.r") will return "myscript.r" Thanks Nevil Amos [[alternative HTML version deleted]]

Hi! I am using the fft() function the base package to transform some 1d signal. If I use this standar fucntion I get a very huge first fourier coeficient. I think this dues to the handling of the borders of the signal. Usually in fft especially in image processing the signal is simulated to be continuous by adding the signal several times periodically. My question is, is there some function

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.

Hi, Currently in AliasAnalysis we can model ModRef behaviour for functions which only access memory through their pointer arguments. However we can't express this propery as a function attribute. For example, for intrinsics we can specify ReadWriteArgMem or ReadArgMem attributes in tablegen definitions. But due to the lack of the related function attributes on the llvm ir level, this

Hi, I am trying to apply *sapply* to functions within functions within functions to do a Monte Carlo experiment: take Y sample of size X based on cell probabilities (using Brian Ripley's suggestion for drawing from contingency tables), for each calculate a vector of statistics, calculate bootstrap std errs with R replications and their means and SD. Store results in a matrix for further

Hello R experts! Last week I run in to a lot a problems triyng to fit an ARIMA model to a time series. The problem is that the internal process of the arima function call function "optim" to estimate the model parameters, so far so good... but my data presents a problem with the default method "BFGS" of the optim function, the output error looks like this: Error en

Hi! Consider d <- data.frame(x=1:10,y=5+1:10, yf=rnorm(10,5+1:10)) x y yf 1 1 6 5.268621 2 2 7 8.623896 3 3 8 8.114830 4 4 9 10.125955 5 5 10 9.977261 ... I plot y and yf against x with xyplot(y+yf~x,data=d,col=c('red','green'),pch=c("a","b")) BUT - I would like that the plot of y against x is with type='l' and the