similar to: Genetic Algorithms with rbga.bin using AIC as the evalFunc

Would someone be so kind as to provide example code where they use the suggestions argument in the rgba function In genalg? I can't get it to work. The following code works just fine: GenFit <-rbga(Lower, Upper, evalFunc = evaluate) Lower and Upper are each numeric vectors with 7 elements. Evaluate is an objective function. However, when I want to use a suggested chromosome, I get an

-------- Original Message -------- Subject: [AGDG-LIST:428] Summer Course in Guelph Date: Fri, 22 Dec 2006 09:12:24 -0500 From: Larry Schaeffer <lrs at uoguelph.ca> Reply-To: lrs at uoguelph.ca To: Animal Geneticist's Discussion <agdg-list at colostate.edu> The Centre for Genetic Improvement of Livestock at the University of Guelph is pleased to announce a one week summer course

Hello seasons R users, Is it possible to store a complete regression result into an array? I've already been able to save individual regression coefficients, but would like to store the whole regression results into different arrays through a loop. So that in under different quantiles regressions, I would be able to create a loop and store the full regression result each time into a

Hi there, Does R has built-in codes for nonpara. bivariate regression so that I can estimate the joint distribution of two variables as a function of some covariates? Thanks a lot. --------------------------------------------------- Ximing Wu Department of Economics University of Guelph Guelph, Ontario, Canada, N1G 2W1 Tel: (519) 842-4120, ext 53014 Fax: (519) 763-8497 email: xiwu at

Greetings I have been trying to use metaplot to create a forest plot of my meta-analysis results. My data is in the form of ORs, so I've been inputting the ORs as the point estimate (mn) and the SEs of the logORs as the SE (se). However, whilst the point estimates appear to be displayed properly, many of the confidence intervals go below zero (not possible for an OR, as far as I know). I

Hi, Can I turn my R code automatically into C? If yes, how can I do that? Do I benefit by doing it? (I know I can do this in matlab and it increases the speed when there is a lot of looping...) thanks a lot. x.w ------------------------ Ximing Wu Department of Economics University of Guelph Guelph, ON, N1G 2W1 Canada Tel: (519) 824-4120 ext. 53014 Fax: (519) 763-8497 email: xiwu at uoguelph.ca

-------- Original Message -------- Subject: [AGDG-LIST:405] R Computing Contest Date: Sat, 21 Oct 2006 12:08:13 -0400 From: Larry Schaeffer <lrs at uoguelph.ca> Reply-To: lrs at uoguelph.ca To: Animal Geneticist's Discussion <agdg-list at colostate.edu> For those that are interested only: R Computer Programming Challenge Given: y = Factor A + Factor B + b1(Covariate1) +

Hi I am first looking at genalg as a starting point for GA implementation in R. I have a couple of questions regarding this package and GA implementation in general. If you could provide some hints on these questions, I would really appreciate. Thank you in advance. 1. I found two methods for performing optimization based on the type of chromosome encoding, i.e. binary and float. I'm

Hello R users I recently learned how to use this command: lapply(datum,"[[","ColumnName") Unfortunately, I don't know how exactly it works, what it's called (in particular the "[[" part], and what other things you can do with it (retrieve multiple columns?). Given datum is a list of dataframes with the same column, but different number of rows,

Thank you Lang. I attached the ELF object file here for your reference. Here is the IR dump of JittedOpExpr LLVM function. IrExprGetValue1 LLVM function calls to external function expr->evalfunc(expr, econtext, isNull, isDone); which should be pointed by 0x7fe4801fa1f8. However, only the first time MCJIT generated object point to expr->evalfunc but second time when program load from object

Hello, all experts, My major is computer-aied drug design ( main QSAR). Now, my paper need be reviesed, and one reviewer ask me do genetic algorithm coupled with gaussian process method (GA+GP). my data: training set: 191*106 test set: 73*106 here, I need use GA+GP to do variable selection when building the model. In R, there are not GA package like in matlab

Hi all, I am interested in obtaining R code related to geographically weighted regression. In particular, I am interested in building geographically weighted Poisson GLMs. The model will contain categorical and continuous x independent variables, with interaction effects between categorical and continuous variables. Anybody have anything I can look at? thanks, Mark. --

Hello, I tried the R-Sig-Mac list with this query, but had no takers. I hope that the following isn't too far off the mark for this list. Many thanks in advance if someone can help me out! Quick summary: I can't get RSPerl working on a PPC G5 with the pre-compiled binary for Mac OS X, but it does work if I compile R from source with the "--enable-R-shlib" flag. If I

Dear R-users, I am trying to translate a matlab code for calculating the Local Whittle estimator in time series with long memory originally written by Shimotsu and available free in his webpage ( http://www.econ.queensu.ca/pub/faculty/shimotsu/ ) The Matlab code is ======================================================================================= function[r] = whittle(d,x,m) % WHITTLE.M

Hello R-Help I have a question about the "behind the scenes" behaviour of the Rscript -e command and particularly its interaction with Sweave and tempdir(). We are trying to deploy R as a web service to do water quality analyses and have been writing software to call Sweave via Rscript eg: cmd> Rscript -e Sweave('sweavefile.Rnw') One problem we have been having is that

Dear R devel, being constrained to a windows environment at work and having colleagues being accustomed to the Microsoft Office Suite, I was looking for a way to have the RweaveLatex driver for Sweave automatically generating 'win.metafile's in addition to the pdf graphics. Without this functionalilty, the generation of emf-graphics is quite laborious, I think: <<>>= plotit

Dear all, at the following address http://linaria.dst.unive.it/~claudio/R/Rmaterial.html#ga you can download a package to build simple genetic algorithms. I wrote this package to introduce genetic algorithms to student in labs, which means, the package emphasize "how a ga works" instead of "how fast it could be". Please, let me know any comments or suggestions, Bests,

Hello, I'm new to R, I have two questions: Is there some implementation og Genetic Algorithms in R? Is there a pre-dvi'd manual of R? thanks. E. Crespi. -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and

mcga 1.1 (machine coded genetic algorithms) package implements a genetic algorithm optimisation tool with machine coded chromosomes. The machine coded chromosomes stand for chromosomes that are not decoded and encoded. The byte representation of 'double' type variables are crossed-over and mutated. This is different from the binary coded and real coded genetic algorithms. Linux and