similar to: [LLVMdev] Phi translation

I'm working on translating llvm's optimized intermediate code to another compiler's intermediate code, and I'm working on the PHI instruction. Here's an example phi instruction to help explain what I'm trying to do: %inc25 = phi i32 [ 1, %entry ], [ %inc, %for.body ] What I would want to do here is allocate some memory memory (i'm trying to use %phi1 = alloca i32,

Hi there, I have a data frame as listed below: > Ca.P.Biomass.A P Biomass 1 334.5567 0.2870000 2 737.5400 0.5713333 3 894.5300 0.6393333 4 782.3800 0.5836667 5 857.5900 0.6003333 6 829.2700 0.5883333 I have fit the data using logistic, Michaelis?Menten, and linear model, they all give significance. > fm1 <- nls(Biomass~SSlogis(P, phi1, phi2, phi3), data=Ca.P.Biomass.A)

Hi all, I'm working with a dataset from 10 treatments, each treatment with 30 subjects, each subject measured 5 times. The plot of the dataset suggests that a 3-parameter logistic could be a reasonable function to describe the data. When I try to fit the model using gnls I got the message 'Step halving factor reduced below minimum in NLS step'. I´m using as the initial values of the

hi all i dont understand the error message that is produced by the optim function. can anybody help??? ie: [[1]]$message [1] "CONVERGENCE: REL_REDUCTION_OF_F <= FACTR*EPSMCH" can anyone help? ########################################################################### SK.FIT(XDATA=a,XDATAname="a",PHI1=1,v=5,vlo=2,vhi=300,phi2lo=.01) [[1]] [[1]]$par [1] -0.01377906

Hi: The gls function I used in my code is the following fm<-gls(y~x,correlation=corARMA(p=2) ) My question is how to extact the AR(2) parameters from "fm". The object "fm" is the following. How can I extract the correlation parameters Phi1 and Phi2 from "fm"? These two parametrs is not in the "coef" componenet of "fm". Thanks a

R2.3, WinXP Dear all, I am using the following functions: f1 = Phi1+(Phi2-Phi1)/(1+exp((log(Phi3)-log(x))/exp(log(Phi4))) f2 = Phi1+(Phi2-Phi1)/(1+exp((log(Phi3)-log(r)-log(x))/exp(log(Phi4))) subject to the residual weighting Var(e[i]) = sigma^2 * abs( E(y) )^(2*Delta) Here is my question, in steps: 1. Function f1 is separately fitted to two different datasets corresponding to

Basically I have two separate passes (first is a loop pass) which are two different files and two different opts but I need to keep the data consistent (ie, I want the changes to show up the resulting .bc output file from the first (loop) pass so the second pass can use these new names. Currently, when I print out "BB->getName().str()" after the code below, I get the correct renaming

Dear all, I am stuck with a problem that might be trivial for most of you (and therefore is a bit embarrassing for me...): I want to calculate a generalized least squares regression using two time series (Y depending on X) with an autoregressive correlation structure of order two (the data along time are given below). I use 'gls' from package 'nlme': Calib.gls <- gls(Y~X,

Nick, Thanks for this info, though this didn't help my problem at all. On Wed, Nov 16, 2011 at 7:21 PM, Nick Lewycky <nicholas at mxc.ca> wrote: > Never create a Twine as a local variable. > > V->setName(Twine("new_name")); > > should work fine, however. Note that Twine itself has an implicit > constructor from const char *, so this code: > >

Ryan, [ Please continue the discussion on mailing for the benefit of everyone. ] On Nov 10, 2011, at 10:31 AM, Ryan Taylor wrote: > I need to iterate bottom up on the nodes, but within that I want to break up BBs within a loop. I could just create a loop pass as another opt and call that, I just thought it'd be easier to get the loop info inside the opt I'm already doing. It is

Never create a Twine as a local variable. V->setName(Twine("new_name")); should work fine, however. Note that Twine itself has an implicit constructor from const char *, so this code: V->setName("new_name"); should also work fine. Nick Ryan Taylor wrote: > Basically I have two separate passes (first is a loop pass) which are > two different files and

So is this simply not possible? On Thu, Nov 17, 2011 at 10:31 AM, Ryan Taylor <ryta1203 at gmail.com> wrote: > Nick, > > Thanks for this info, though this didn't help my problem at all. > > > On Wed, Nov 16, 2011 at 7:21 PM, Nick Lewycky <nicholas at mxc.ca> wrote: > >> Never create a Twine as a local variable. >> >>

Hello, I have a question on unit root test with urca toolbox. First, to run a unit root test with lags selected by BIC, I type: > CPILD4UR<-ur.df(x1$CPILD4[5:nr1], type ="drift", lags=12, selectlags ="BIC") > summary(CPILD4UR) The results indicate that the optimal lags selected by BIC is 4. Then I run the same unit root test with drift and 4 lags:

llvm-dev, Thanks so much in advance for any help, tips, or advice you may be able to offer me. I'm going to try to avoid the big-picture description of the project I'm working on, and only talk about the parts that I have trouble with / currently need to implement. -- I've been starting by taking the source code from the "llvm-mc" tool, and working that down into a

LLVMers, So, I'm trying to write a pass that changes the names of the basic blocks through the use of Value, so: Value *V = *BasicBlockPtr; const Twine Tname("new_name"); V->setName(Tname); But when I run the opt and look at the IR output nothing is changed? Not sure what I'm doing wrong. Thanks. -------------- next part -------------- An HTML attachment was

Dear R users; Ive got two questions concerning nlme library 3.1-65 (running on R 2.2.0 / Win XP Pro). The first one is related to augPred function. Ive been working with a nonlinear mixed model with no problems so far. However, when the parameters of the model are specified in terms of some other covariates, say treatment (i.e. phi1~trt1+trt2, etc) the augPred function give me the following

Hi all, I am trying to use nonlinear regression (nls) to analyze some seed germination data, but am having problems with error codes. The data that I have closely matches the germination dataset included in the drc package. Here is the head of the data temp species start end germinated TotSeeds TotGerminated Prop 1 10 wheat 0 1 0 20 0 0.0 2 10 wheat

Hi Rers, I have a poission time series model with 5 parameters. I just wanted to remove two of the lag on response in the model and put it as a system model. I am not sure about the codes to combine these two on R. If anybody has any R example (code), please post it. My original model: log(Y(t))~constant+b1*Y(t-1)+b2*Y(t-2)+b3*(variable1)+b4*(variable2)+e I would like to construct a

Hello, writing some R code to cleanse a data set, if the following set of symbols are identified then perform some actions. trying to write the minimum code to do this. tname = "VIX" checkticker = c("VIX", "TYX", "TNX", "IRX") if (tname == checkticker) { //perform some operations } result i get is > tname == checkticker

Hi All, I'm new to R and am trying to run a unit root test on the vector "y" (a time series of inflation (i.e. changes in the Consumer Price Index quarter on quarter)). I've run the Augmented-Dickey-Fuller Test below (R's URCA package). It gives me an error that it cannot find the function ur.df unless I comment out the third last line of code (see below). I try to call