similar to: optim error

Hi, Today I came upon unexpected R behaviour. I did some modelling and the result was R object, about 28MB size (nested list, with matrixes as list elements). When I was saving the session with save.image, the resulting .RData file was 300MB. There were no other large objects: >

Good day, Is there any way to save a plot produced by R in a LINUX (Debian) machine? The window opened by R to put the plot in, does not give any option to save it (there are options to move, close, minimise it, etc. but not to save it). How do you do that? Thanks, Augusto -------------------------------------------- Augusto Sanabria. MSc, PhD. Mathematical Modeller Risk Research Group

Full_Name: Vaidotas Zemlys Version: 2.1.1 OS: Ubuntu 05.10 Submission from: (NULL) (213.197.173.50) Hi, This is really a feature request, not a bug. I wrote the mail to R-devel, but nobody answered it. I use Gnome on my computer and sometimes I use its default text editor gedit. It uses gtksourceview library for syntax highlighting. I decided that it would be nice if gedit supported R

Hi, I was trying to repeat the estimation of threshold GARCH models from the book "Analysis of Financial Time Series" by Ruey S. Tsay, and I was succesfull, but I had to use "for" loop, which is quite slow. The loop is necessary, since you need to calculate recursive sequence. Is there a faster way to do this in R, without using loops? The model is such: r_t = \mu + \alpha_2

Hi, > Le 17 mai 2017 ? 00:42, Dirk Eddelbuettel <edd at debian.org> a ?crit : > > > On 8 May 2017 at 15:39, Vaidotas Zemlys wrote: > | Hi, > | > | Dirk Eddelbuettel advised me to write here. Here is my original letter to him: > | > | I would like to enquire about package r-cran-rjava on Debian jesse. It seems that if default-jre package is not installed, but

Hi, Dirk Eddelbuettel advised me to write here. Here is my original letter to him: I would like to enquire about package r-cran-rjava on Debian jesse. It seems that if default-jre package is not installed, but openjdk-7-jre is installed, then library(rJava) in R fails. I?ve been bitten by this today and I wonder whether this an issue of mine, or is this a possible bug. My server admin used

Dear UseRs, Is there a way to define the lower-upper bounds for parameters fitted by optim using the Nelder-Mead method ? Thanks, Arnaud [[alternative HTML version deleted]]

Hi, Sweave for some reason does not respect encoding setting in pdf.options. Everything is OK with ps.options. Thus when using non-default encoding for graphs, resulting graphics eps file is correct, but pdf file is not. Workaround is very simple, just use latex->dvips->ps2pdf chain to get the intended pdf document. I tried to find the explanation for this, but I did not find anything. If

Hi, I'm having problems while working with large data sets with R 1.5.1 in windows 2000. Given a integer matrix size of 30 columns and 15000 rows my function should return a boolean matrix size of about 5000 rows and 15000 columns. First of all I tried to run this function on computer with 256 MB of RAM. I increased memory limit of R with memory.limit() up to 512 MB. I was inspecting

Hi R users, I am using the optim funciton to maximize a log likelihood function. My code is as follows: p<-optim(c(-0.2392925,0.4653128,-0.8332286, 0.0657, -0.0031, -0.00245, 3.366, 0.5885, -0.00008, 0.0786,-0.00292,-0.00081, 3.266, -0.3632, -0.000049, 0.1856, 0.00394, -0.00193, -0.889, 0.5379, -0.000063, 0.213, 0.00338, -0.00026, -0.8912, -0.3023, -0.000056), f,

Hi, am very new to R and I've written an optim function, but can't get it to work least.squares.fitter<-function(start.params,gr,low.constraints,high.constraints,model.one.stepper,data,scale,ploton=F) { result<-optim(par=start.params,method=c('Nelder-Mead'),fn=least.squares.fit,lower=low.constraints,upper=high.constraints,data=data,scale=scale,ploton=ploton)

I have a Master's student working on a project which involves estimating parameters of a certain model via maximum likelihood, with the maximization being done via optim(). A phenomenon has occurred which I am at a loss to explain. If we use certain pairs of starting values for optim(), it simply returns those values as the ``optimal'' values, although they are definitely not

Hi! I'm trying to figure out how to use optim... I get some really strange results, so I guess I got something wrong. I defined the following function which should be minimized: errorFunction <- function(localShifts,globalShift,fileName,experimentalPI,lambda) { lambda <- 1/sqrt(147) # error <- abs(errHuber(localShifts,globalShift, #

Hi R-Help, I am using R to do functional outlier detection (using PCA to reduce to 2 dimensions - the functional boxplot methodology used in the Rainbow package), and using Hscv.diag function to calculate the bandwidth matrix where this line of code is run: result <- optim(diag(Hstart), scv.mat.temp, method = "Nelder-Mead", control = list(trace = as.numeric(verbose))) Within the

Dear R-users, I am trying to port to R something that I wrote in Matlab to perform model parameter optimization using the Nelder-Mead simplex method (fminsearch). I read the help on ?optim (which seems to be the way to go) as well as a bunch of posts on the topic, but I would like to make sure about something before I spend to much time trying to reproduce something that is not possible. The

Hello, I am attempting to use optim under the default Nelder-Mead algorithm for model fitting, minimizing a Chi^2 statistic whose value is determined by a .C call to an external shared library compiled from C & C++ code. My problem has been that the R session will immediately crash upon starting the simplex run, without it taking a single step. This is strange, as the .C call itself works,

Hi, I have written an R translation of C.T. Kelley's Matlab version of the Nelder-Mead algorithm. This algorithm is discussed in detail in his book "Iterative methods for optimization" (SIAM 1999, Chapter 8). I have tested this relatively extensively on a number of smooth and non-smooth problems. It performs well, in general, and it almost always outperforms optim's

Hi, I'm having a problem converting a Matlab program into R. The R code works almost all the time, but about 4% of the time R's optim function gets stuck on a local minimum whereas matlab's fminsearch function does not (or at least fminsearch finds a better minimum than optim). My understanding is that both functions default to Nelder-Mead optimization, but what's different about

Dear list,   I am looking for an R-only implementation of a Nelder-Mead process that can find local maxima of a spatially distributed variable, e.g. height, on a spatial grid, and outputs the coordinates of the new point during each evaluation. I have found two previous threads about this topic, and was wondering if something similar has been implemented since those messages were posted.   Thank

Dear R-er, For a non-linear optimisation, I used optim() with BFGS method but it stopped regularly before to reach a true mimimum. It was not a problem with limit of iterations, just a local minimum. I was able sometimes to reach better minimum using several rounds of optim(). Then I moved to optimx() to do the different optim rounds automatically using "Nelder-Mead" and