similar to: interior point methods, automatic differentiation in R

There have been several messages on R-devel mentioning the interior point optimization software Ipopt, https://projects.coin-op/Ipopt/. This C++ library is released under a license called the Common Public License. I have two questions that readers of R-devel may be able to answer. 1) Would creating an Ipopt interface for R be duplicating existing efforts? That is, has someone already done so

Hi all, I'm wondering if there is a way to define a destructor function (to free memory) for S4 class objects in analogy to C++? rm() combined with gc() does not seem to be a good idea (Chambers, 2008). So could it be done on the C/C++ level or is it even already available in the "internals"? Many thanks, David [[alternative HTML version deleted]]

Hi all, I am using ggplot2 and continuing to find it very useful and pretty. However, I am trying to create some graphics for publication that would be included in an MS Word document (not my choice!) in Windows Vista. The problem is that I want to use stat_smooth() to add an fitted linear model line along with its 95% confidence band, but I cannot seem to get the confidence band in a format

Hello, I am hoping someone can help me with the following multivariate issue: I have a model consisting of about 50 covariates. I would like to reduce this to about 5 covariate for the reduced model by combining cofactors that are strongly correlated. Is there a package or function that would help me with this in R? I appreciate any suggestions. Thanks, Ian

Dear list, The task view on optimization does not reference a package for non linear constrained optimization problems. Stefan Theussl told me to look at the Rsolnp package, but unfortunately it is not very clear what method is R ported. (The authors ported the matlab code of Yinyu Ye http://www.stanford.edu/~yyye/ <http://www.stanford.edu/%7Eyyye/>) Currently I'm looking for an

I have been using the "map" function in R and I was wondering if there is a way to map multi-state regions just showing the outline of the region without interior state borders. For instance, I am calculating aggregated statistics using 10 multi-state regions. I would like to color-code individual states based on my dataset but then to create black outlines around each of these 10

Hi useR's, I have an image plot I want to overlay a map of the United States on, via map('usa'). The image is basically a large rectangular of various colors. When I overlay the United States map, the full rectangle of the image plot is visible, but I only want to display the image WITHIN the United States boundary. Does anyone know a way to do this? Thanks in advance, dxc13 --

Hello, The ssh deamon from OpenSSH_2.5.2p2 first does a seteuid(uid) and then stat($HOME/.shosts) to check whether a .shosts file is there. This seems to be a problem when homedirectories are only accessible "by group permission"; for example in the following (as I guess quite common) case: drwxr-x--- root mygroup 512 Apr 10 12:09 mygroup And my personal homedirectory would now

Hi. I need some advises on how to use R to find pi (i is the index) with the following objective function and constraint: max (sum i)[ f(ai, bi, pi) * g(ci, di, pi) * Di ] s.t. (sum i)[ f(ai, bi, pi) * Di * pi] / (sum i)[ f(ai, bi, pi) * Di ] <= constant f and g are diffentiable. So, I am thinking of optim with method = "BFGS"? But wonder how to include the

Dear all, I get the error "Error in namespaceExport(ns, exports) : undefined exports function1 , function2" when compiling or even when I roxygen my package. The two function I once had in my package but I deleted them including their .Rd files. I also can't find them in any other function or help file. So does anybody know where these functions are still listed that causes

Dear all, I get the error "Error in namespaceExport(ns, exports) : undefined exports function1 , function2" when compiling or even when I roxygen my package. The two function I once had in my package but I deleted them including their .Rd files. I also can't find them in any other function or help file. So does anybody know where these functions are still listed that causes

Dear R-users, I successfully installed rtiff on by R installation, but when I tried to load it, I got: >local({pkg <- select.list(sort(.packages(all.available = TRUE))) + if(nchar(pkg)) library(pkg, character.only=TRUE)}) Error in dyn.load(file, ...) : unable to load shared library 'C:/PROGRA~1/R/R-26~1.2/library/rtiff/libs/rtiff.dll': LoadLibrary failure: Das angegebene Modul

For some reasons the afs tokenforwarding stuff has changed siginificantly from v 2.9p2 to 2.9.9p2. This makes it impossible to use public key authenticication in a standart AFS environment. I don't know the reasons for these changes. In any case attached is a patch which restores the old behaviour. Regards Serge -- Serge Droz Paul Scherrer Institut mailto:serge.droz at

Hi, I'm trying to compile rsync 3.1.1pre2 on OS X with CFLAGS=-I/opt/local/include. The consequence of this is that rsync fails to build: /usr/bin/clang -I. -I. -pipe -Os -I/opt/local/include -arch x86_64 -DHAVE_CONFIG_H -Wall -W -I./zlib -I/opt/local/include -c token.c -o token.o token.c:420:26: error: use of undeclared identifier 'Z_INSERT_ONLY' r =

Dear all, I don't bring my head around how to link an external C++ library with some R code using R CMD SHLIB and/or R CMD INSTALL . So does anybody can tell me how I could easily link an external library that is e.g. in /usr/local/lib/mMyLibrary ? Many thanks, David [[alternative HTML version deleted]]

I'm using samba 3.0.24. I create my Makefile for cross compiling smbd nmbd testparm and CP850.so: Makefile: ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ # Flags divers #COFLAGS=-O2 CWFLAGS= -g -Wall # Cross compile tools CC=mips-linux-gcc #CC=gcc LINT=splint SHLD= $(CC) -O -D_SAMBA_BUILD_ LDSHFLAGS=-shared -Wl,-Bsymbolic

Dear all, I want to compute the eigenvalues of a complex matrix for some statistics. Comparing it to its matlab/octave sibling, I don't get the same eigenvalues in R computing it from the exact same matrix. In R, I used eigen() and arpack() that give different eigenvalues. In matlab/octave I used eig() and eigs() that give out the same eigenvalues but different to the R ones. For real

Hello! I've run a simple linear model: result<-lm(DV~A+B+C,data=Data) My Data$A,Data$B, and Data$C are factors. So, lm automatically recoded them into dummy variables. I have all the results I need but one. Question: Where could I see the variance explained by all A dummy variables together, then all B dummy variables together, and all C dummy variables together - when other predictors

Hi all, It's been a while since i've used R and I can't remember how to do the following: i have a = rpois (100000, x) b = rpois (100000, y) what is the code to show that a>b, b>a and a=b to show just the number of occurances? at the moment when I type a>b I get a nice long list of true or false. so i'm hoping to have the following a>b > 35000 b>a > 25000

Hi, Could anyone tell me what is the command used in R to do 1. Differentiation 2. Newton Raphson method (Numerical Analysis in general...) Are there any packages separately for this? Thanks for your help! BR, Shubha [[alternative HTML version deleted]]