search for: getinitializer

Hi All, Another nls related problem (for background, I'm migrating a complicated modelling package from S-plus to R). Below I've reduced this to the minimum necessary to demonstrate my problem (I think); the real situation is more complicated. Two similar selfStart functions, ssA and ssB. The 'initial' function for ssB modifies its arguments a little and then calls getInital

Hello. I am having a problem setting up a self-starting function for use in nonlinear regression (and eventually in the mixed model version). The function is a non-rectangular hyperbola - called "NRhyperbola" - which is used for fitting leaf photosynthetic rate to light intensity. It has one independent variable (Irr) and four parameters (theta, Am, alpha and Rd). I have created this

Hello, I'm having problems creating and using a selfStart model with nlme. Briefly, I've defined the model, a selfStart object, and then combined them to make a selfStart.default model. If I apply getInitial to the selfStart model, I get results. However, if I try usint it with nls or nlsList, these routines complain about a lack of initial conditions. If someone could point out

Hi Everyone, I seek guidance to avoid wasting a lot of time and doing things badly. Several times I've solved my problems, only to find that my solutions were clumsy and not robust. (see "nested" getInitial calls; variable scoping problems: Solved?? http://finzi.psych.upenn.edu/R/Rhelp02a/archive/139943.html for one truly horrible approach). I'm sure that I'm not the

I am trying to fit a curve to a cumulative mortality curve (logistic) where y is the cumulative proportion of mortalities, and t is the time in hours (see below). Asym. at 0 and 1 > y [1] 0.00000000 0.04853859 0.08303777 0.15201970 0.40995074 0.46444992 0.62862069 0.95885057 1.00000000 [10] 1.00000000 1.00000000 > t [1] 0 13 20 24 37 42 48 61 72 86 90 I tried to find starting values for

Hi, I'm relatively new to R and need to do a quantile regression. Linear quantile regression works, but for my data I need some quadratic function. So I guess, I have to use a nonlinear quantile regression. I tried the example on the help page for nlrq with my data and it worked. But the example there was with a SSlogis model. Trying to write dat.nlrq <- nlrq(BM ~ I(Regen100^2),

Hi, I have a program written in R which is good on the version 1.2, but for the fallowing versions of R, an error always is at the same place. That is at the level of the fallowing line: Sur<- getInitial(res2[m:M,2]~SSasymp(res2[m:M,1],Asymp,resp0,lrc),data=res2) Error in eval(expr,envir,enclos):numeric envir arg not of length one I don't know at all this langage for the instant.

getInitializer returns the complete initializer of the global. My globals are complex nested structs, from which I want to extract e.g. one double datafield. Example: >From a struct Stuct having double,array(3xint),float fields, I could extract the second int value using the index sequence 0,1,1 with getGet...

Hello, I'm trying to do some non-linear regression with 2 cell types and 4 tissue type treatments using selfStart models Following Ritz and Streibig (2009), I wrote the following routines: ##Selfstart expDecayAndConstantInflowModel <- function(Tb0, time, aL, aN, T0){ exp(-time*aL)*(T0*aL+(-1+exp(time * aL))*Tb0 * aN)/aL } expDecayAndConstantInflowModelInit <- function(mCall, LHS,

Hello. Following pages 342-347 of Pinheiro & Bates, I am trying to write a self-starting nonlinear function (a non-rectagular hyperbola) to be used in nonlinear least squares regression (and eventually for a mixed model). When I use the getInitial function for my self-starting function I get the following error message: > getInitial(photo~NRhyperbola(Irr,theta,Am,alpha,Rd),dat) Error

I'm trying to fit a Gompertz sigmoid as follows: x <- c(15, 16, 17, 18, 19) # arbitrary example data here; y <- c(0.1, 1.8, 2.2, 2.6, 2.9) # actual data is similar gm <- nls(y ~ a+b*exp(-exp(-c*(x-d))), start=c(a=?, b=?, c=?, d=?)) I have been unable to properly set the starting value '?'s. All of my guesses yield either a "singular gradient" error if they

Hi everybody, I'm using the method described here to make a linear regression: http://www.apsnet.org/education/advancedplantpath/topics/Rmodules/Doc1/05_Nonlinear_regression.html > ## Input the data that include the variables time, plant ID, and severity > time <- c(seq(0,10),seq(0,10),seq(0,10)) > plant <- c(rep(1,11),rep(2,11),rep(3,11)) > > ## Severity

...his case. sorry, I still don't understand the way you mentioned. Would you mind giving me a example? What I have tried is that I used the following code for(Module::ginterator gI=M->gbegin(), gE=M->gbegin; gI!=gE;++gI){ std::cout<< *gI<< gI->getName()<<gI->getInitializer(); } With *gI, I could get all string With gI->getName, I could get the global variable name. With gI->getInitializer(), I could get the init value for the GV. Next, what I want to do is to modify the value of the GV, and I tried to use setInitializer(), but I don't know to do it. setIn...

Hi, Sorry for bothering you guys again. I got problem when I am trying to recover the Global Variable Initial value. What I did is like the following ConstantArray *Cstr = dyn_cast<ConstantArray>(gI->getInitializer()); // the above instruction enable me to get the content of initial string of global variable, like char a[10] ="test global"; And then I make some change for the Cstr and write it back to the global variable by gI->setInitializer(Constant *); Meanwhile I am trying to put a routine...

...y(F.getParent()); DecodeString(F.getParent()); return true; } void DecodeStr::get_randKey(Module *M){ for(Module::giterator gI=M->gbegin(),gE=M->gend();gI!=gE;++gI){ std::string GVname = gI->getName(); if(strcmp(GVname.c_str(),"Gvkey")==0){ randKey =(gI->getInitializer()); } } } void DecodeStr::DecodeString(Module *M){ std::cerr<<"filename "<<M->getModuleIdentifier()<<endl; for(Module::giterator gI = M->gbegin(),gE=M->gend();gI!=gE;++gI){ unsigned i=0; if(ConstantArray *Cstr = dyn_cast<ConstantArray>(g...

Hi everyone, I thought that for a selfStart function, these two should be exactly equivalent > nls(Aform, DF) > nls(Aform, DF, start=getInitial(Aform, DF)) but in this example that is not the case in R (although it is in S-plus V6.2) ------------------------------ SSbatch<-selfStart( model=function(Batch, Coeffs) { Coeffs[Batch] } ,initial=function(mCall, data, LHS) { # Estimate

Hi Everyone, I'd omitted the non-optional 'parameters' argument to selfStart. Making this change to SSbatch gives the same (successful) result from the two calls to nls. SSbatch<-selfStart( model=function(Batch, Coeffs) { Coeffs[Batch] } ,initial=function(mCall, data, LHS) { # Estimate coefficients as mean of each batch xy <- sortedXyData(mCall[["Batch"]],

Hi I have IR Code like ... @path = private constant [6xi8] c"abcde\00" ... --- Code from Pass --- GlobalVariable * GVPath = .... // contains @path I want to convert "abcde" to StringRef. Can you help me with GlobalVariable API? GlobalVariable::getInitializer() --> Constant* // How to get exact value äbcde from here? ~mahesh -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm.org/pipermail/llvm-dev/attachments/20180321/fc70ed6d/attachment.html>

Hi Tim, I forgot to say that I try to do all this in the LLVM API, not IR. I read in a bc'ed program and try to edit it using the API. Alex Tim Northover wrote: >> But I can not succeed in using the getGetElementPtr result in >> constructing an initalizer for another global value (which expects a >> ConstantFP* and not a ConstantExpr*). > > The result of a

Hi all, I can get access to the data stored in globals as follows: GlobalVariable* pGvarAct=_set_a_valid_global_; const_ptr_indicesVec=_the_indexes_ llvm::Constant* pConst; pConst=ConstantExpr::getGetElementPtr(pGvarAct, const_ptr_indicesVec); and e.g. use this to repalece an argumrnt of an instruction like: I->setOperand(someArgumentIndex,pConst); However, getGetElementPtr returns a