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Hi all, I suppose this is a very simple question, but as I've lost already a bit of time with it, without being able to get what I wanted, I'm addressing the question to the group in the hope someone can help me. I pretend to plot the richness of herbaceous species (RichHN) as a function of time since remnant isolation (Isol) conditioned to the area of the remnant (fArea - this is a

Hi, I changed INTEGER(getAttrib(shape,mkChar("nParts")))[0] to INTEGER(getAttrib(shape,mkString("nParts")))[0] and now it works fine. Nicholas -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Hi, In another thread ("PBSmapping and shapefiles") I asked for an easy way to read "shapefiles" and transform them in data that PBSmapping could use. One person is exploring some ways of doing this, but it is possible I'll have to do this "manually". With package "maptools" I am able to extract the information I need from a shapefile but it is

I am actually trying to write something above the first column ( in the example the column with numbers 1 to 8) is this possible at all? If not, is there another way to make a table which supports this? I am merely using a data frame as a way to create a table I don't need the data to be this data type. Benjamin On 10/26/06, Leeds, Mark (IED) <Mark.Leeds at morganstanley.com> wrote:

Hi ! I have a shapefile that I can easily read into R using library(maptools). My problem stems from some warning messages that come even though everything seems to work fine. library(maptools) districts <- read.shape(filen = "a_ds", dbf.data = TRUE) length(districts$Shapes) so far so good. when I try and plot this I get a nice plot and a warning message: > plot(districts)

Hi, One feature missing from rsync, and requested on this list before, is on-the-fly conversion of filename character encoding. For example, I often need to sync files having Hebrew filenames from a UTF-8 system (Linux) to an ISO8859-8 system (Cygwin on Windows 2000 using the non-Unicode Win32 interface). Other circumstances surely abound. Attached is a patch against rsync 2.6.2 that adds an

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear All, We are happy to announce the release of the new version of DEoptim (version 2.0-0) which is now available from CRAN. The DEoptim package [3] performs Differential Evolution (DE) minimization, a genetic algorithm-based optimization technique [2,3]. This allows robust minimization over a continuous (bounded or not) domain. The new DEoptim function calls a C implementation of the DE

Dear R Community, I am trying to optimize a water quality model that I am using. Based on conversations with others more familiar with what I am doing I plan to implement DEOptim to do this. The water quality model is interfaced through a GUI. I have the input file necessary to alter parameters and run the model as a text file. To do the optimization I have figured out the general procedure

I am trying to figure out how parameters are defined in a function that is used by DEOptim. That is, when I set upper and lower bounds for DEOptim how does it know which element of the function to apply those bounds to? For example, in DEOptim call below, when DEOptim goes into "optimfxn" how does it know what element of "optimfxn" to apply the upper and lower bounds to?

Dear All, In the moment i'm using the map and maptools package to read shapefiles and display the maps. I'm looking for the possibility to draw points (randomly positioned or positioned according to a grid) into the polygons instead of filling the polygons with colors. For example: a map (shapefile) with 10 countries, 15 points in the polygon of country A, 20 points in the

Hello, everyone I have a piece of code that looks like this: mrets <- merge(mrets, BMM.SR=apply(mrets, 1, MyFunc, ret="BMM.AV120", stdev="BMM.SD120")) mrets <- merge(mrets, GM1.SR=apply(mrets, 1, MyFunc, ret="GM1.AV120", stdev="GM1.SD120")) mrets <- merge(mrets, IYC.SR=apply(mrets, 1, MyFunc, ret="IYC.AV120",

(the same mail was sent to the author) When I called the function DEoptim with control=list(strategy=1) or control=list(strategy=2) I got the error: Error in mui[rtd + 1, i] : incorrect number of dimensions Analysis of the source code of the DEoptim reveals the following fragment if (con$strategy > 5) st <- con$strategy - 5 ## binomial crossover else { st <-

Hi R-Core, i am using nnet and DEoptim, Xcc=matrix(rnorm(100,0.5,0.08),50,2) Ycr=matrix(rnorm(50,0.2,0.05),50,1) pred_regm1 <- function(A) { A1=A[1] A2=A[2] A3=A[3] regm1 <- nnet(Xcc,Ycr,entropy=T,size=A1,decay=A2,maxit=2000,trace=F,Hess=T,rang=A3,skip=T) dif=sum((predict(regm1,Xcc)-Ycr)^2) return(dif) } somar=DEoptim(pred_regm1,c(1,0.00001,0.01), c(25,0.999,0.95),

Function DEoptim in package DEoptim for differential evolution defines an optional parameter fnMap: fnMap "an optional function that will be run after each population is created, but before the population is passed to the objective function. This allows the user to impose integer/cardinality constriants." Unfortunately, there is no further documentation decribing the kind of

Hi, Is there a way, preferably with R, to read shapefiles and transform them in a format that I could then use with package PBSmapping? I have been able to read such files into R with maptools' read.shape and plot it with plot.Map, but I'd like to bring the data to PBSmapping and plot from there. I also looked at the package shapefile, but it does not seem to do what I want

Hi there, I am trying to fit the following model with a sum of exponentials - y ~ Ae^(-md) + B e^(-nd) + c the model has 5 parameters A, b, m, n, c I am using nls to fit the data and I am using DEoptim package to pick the most optimal start values - fm4 <- function(x) x[1] + x[2]*exp(x[3] * -dist) + x[4]*exp(x[5] * -dist) fm5 <- function(x) sum((wcorr-fm4(x))^2) fm6 <- DEoptim(fm5,

Hi Peter, I'm assuming by this that you mean project ownership/maintainership of libclc, or are you instead referring to the copyright on your contributions to this project? I just want to be clear here. Also, do you plan on leaving the mailing list up, or should we start making alternative plans? Regards, Aaron Watry On Mon, Dec 8, 2014 at 3:18 PM, Peter Collingbourne <peter at

Dear R users, During the the running of DEoptim function which belongs to "DEoptim" package it automatically gives the output like the following: Iteration: 1 bestvalit: 181.379847 bestmemit: 0.226499 1.395852 Iteration: 2 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 3 bestvalit: 14.062649 bestmemit: 2.290357 5.597838 Iteration: 4 bestvalit: 14.062649

Dear all, I'm pleased to announce the release of an R implementation of the Self-Organising Migrating Algorithm (SOMA), a general-purpose, stochastic optimisation algorithm. The approach is similar to that of genetic algorithms, although it is based on the idea of a series of "migrations" by a fixed set of individuals, rather than the development of successive generations. It can be