similar to: Stranger Characteres

Hi all, I'm having some difficulty passing arguments into lm() from within a function, and I was hoping someone wiser in the ways of R could tell me what I'm doing wrong. I have the following: lmwrap <- function(...) { wts <- somefunction() print(wts) # This works, wts has the values I expect fit <- lm(weights=wts,...) return(fit) } If I call my function lmwrap, I get

Hello, I've been working with "nnet" and now I'd like to use the weigths, from the fitted model, to iterpret some of variables impornatce. I used the following command: mts <- nnet(y=Y,x=X,size =4, rang = 0.1, decay = 5e-4, maxit = 5000,linout=TRUE) X is (m x n) Y is (m x 1) And then I get the coeficients by: Wts<-coef(mts) b->h1 i1->h1

Hi, I am doing double for loops to calculate SDs with some weights and wondering if I can get rid of the outer for loop as well. I made a simple examples which is essentially what I am doing. Thanks for your help! -Young #------------------------------------------------------ # wtd.var is Hmisc package # you can replace the 3 lines inside for loop as # sdx[i,] =

I could use some help understanding how nls parses the formula argument to a model.frame and estimates the model. I am trying to utilize the functionality of the nls formula argument to modify garchFit() to handle other variables in the mean equation besides just an arma(u,v) specification. My nonlinear model is y<-nls(t~a*sin(w*2*pi/365*id+p)+b*id+int,data=t1,

All: I am new to R and would like your help in identifying the appropriate process to follow in order to modify the output from an existing package. I've had difficulty finding an answer online, perhaps because I am using incorrect terminology. A package that I am using (mmlcr) invokes another package (multinom). An output of multinom is the standard errors, but this output is not

Hello I was trying to estimate the weibull model using nls after putting OLS values as the initial inputs to NLS. I tried multiple times but still i m getting the same error of Error in nlsModel(formula, mf, start, wts) : singular gradient matrix at initial parameter estimates. The Program is as below > vel <- c(1,2,3,4,5,6,7,8,9,10,11,12,13,14) > df <- data.frame(conc, vel) >

R-users E-mail: r-help@r-project.org I have a quenstion on "gam()" in "gam" package. The help of gam() says: 'gam' uses the _backfitting algorithm_ to combine different smoothing or fitting methods. On the other hand, lm.wfit(), which is a routine of gam.fit() contains: z <- .Fortran("dqrls", qr = x * wts, n = n, p = p, y = y *

Hi. I am running SAMBA 2.0.7 on HP-UX 11.00 and HP-UX 10.20. I have tried adding the MultipleUsersOnConnection registry key onto my Microsoft Windows NT Server 4 Terminal Server Edition servers, running with Service Pack 6. After I make this change in the registry and reboot my WTS servers all my samba connections from the servers are still being made with one process instead of being split

The following warning message occurs when running the nls on some data: ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Warning message: In is.na(wts) : is.na() applied to non-(list or vector) of type 'NULL' ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ and I would like to know what is causing it and how I can fix it. As an example, the following, from Venables and Ripley, which

I want to create a neural network, and then everytime it receives new data, instead of creating a new nnet, i want to use a backpropagation algorithm to adjust the weights in the already created nn. I'm using nnet package, I know that nn$wts gives the weights, but I cant find out which weights belong to which conections so I could implement the backpropagation algorithm myself. But if anyone

I need help on calling the svydesign function in the survey package (although this error appears not to be specific to svydesign). I am passing parameters incorrectly but am not sure how to correct the problem. ## Call the main function PS.sim (one of mine). The dots are parameters I omitted to simplify the question. ## y.col, str.col, clus.id, and PS.col are names of columns in the object pop.

I'm wondering whether anyone has any insight into why the 'simulate' methods for the built-in glm() families (binomial, Poisson, Gamma ...) extract the prior weights using object$prior.weights rather than weights(object,"prior") ? At first I thought this was so that things work correctly when e.g. subset= and na.action=na.exclude are used. However, the current versions of

Hello there, I am trying to fit an exponential model using nls to some data. #data t <- c(0,15,30,60,90,120,240,360,480) var <- c(0.36,9.72,15.50,23.50,31.44,40.66,59.81,73.11,81.65) df <- data.frame(t, var) # model # var ~ a+b*(1-exp(-k*t)) # I'm looking for values of a,b and k # formula # mod <- nls(formula = var ~ a+b *(1-exp((-k)*t)), start=list(a=0, b=10,

HI Duncan, Your understanding of the problem is correct. However, the XYZ class is not inside an anonymous name space. Also, all the XYZ methods are defined in the .cpp file. Looking at the error message: opt: symbol lookup error: path/to/pass.so: undefined symbol: _ZN12DataTransferD1Ev Where DataTransfer is the class name. Maybe I am missing certain type of constructors? Thanks, Welson On

Originally, the problem is the lack of .cpp file. Then I noticed the compilation log is not showing the .o file being generated for the non-pass classes. Then I added the .cpp files for each .h file, then the .o files are being generated, shown in the Debug directory. Actually, if I add "VERBOSE = 1" in the Makefile, it shows the linking command is actually linking all the .o files into

Hey Duncan, Thanks! I figured out this piece of code finally: Value *gep = call->getArgOperand(0); if ( ConstantExpr *pCE = dyn_cast<ConstantExpr>(gep) ) { Value *firstop = pCE->getOperand(0); if (GlobalVariable *GV = dyn_cast<GlobalVariable>(firstop)){ Constant *v = GV->getInitializer(); if

Thanks Duncan, Yes, it is a ConstantExpr! Thank you! Now trying to find a clue in ConstantExpr's functions to get that string :-) Regards, Welson On Thu, Jan 26, 2012 at 9:04 PM, Duncan Sands <baldrick at free.fr> wrote: > Hi Welson Sun, > > > Hi, if I have some LLVM code like this: > > > > @.str = private unnamed_addr constant [7 x i8]

Hi Welson, the default alias analysis is -no-aa. As the name suggests it just returns MayAlias for everything. Maybe you are using that one? Best wishes, Duncan.

Hi Welson, are you saying that the .o file containing the class is being linked into the .so file, but nonetheless you get "undefined symbol XYZ" errors where XYZ is that class? Maybe you defined the class inside an anonymous name space? Alternatively, if XYZ refers to a method of the class, maybe you forgot to define that method. Ciao, Duncan. On 01/03/12 17:36, Welson Sun wrote:

Yeah. Is there a way to specify noalias between these arguments? On Fri, Sep 21, 2012 at 2:46 PM, Krzysztof Parzyszek < kparzysz at codeaurora.org> wrote: > On 9/21/2012 4:35 PM, Welson Sun wrote: > >> Dear LLVM, >> >> I would like to understand how to improve the LLVM alias analysis >> accuracy. I am currently using llvmgcc 2.9 and llvm 3.0. Here is the C