similar to: Question about genalg in R

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

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

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 list members I have a vector of strings x=c("w","ex","ee") And I want to get a logical vector showing the positions where my search string "e" matches the elements partially, i.e. is at least the left-hand part of the target strings, i.e. I want to get a vector FALSE TRUE TRUE. Any ideas? Thanks Steve Powell proMENTE social research research |

Hi I have the code like I show below. The problem here is that I have a setReplacementMethod to set the value of my class slot. However, this function doesn't work when I call it within another function definition (declared by setMethod) of the same class. I do not understand this behavior that much. I'm wondering how to make this work? Any help would be really appreciated. Thank you.

Hi - I tried to get some answer before but there seems to have no one response. My question is that I have a class like below definition: setClass("DBManager", representation(channel="RODBC")) My purpose of the conn slot is to hold a channel to database connection which is returned by a command like: channel <- odbcConnect("DB", uid="user",

Hi, I have a class definition like this: setClass("foo", representation(members="numeric"), prototype(members=c())) I intend my class to have members, a slot whose value should be a vector of integer. When I initialize this class, I don't have any member yet. So my member is blank. But if I run the above definition into R, it will complain that my slot members is

Hi I'm quite new to this area a bit but I'm wondering if there is any implementation of multi-objective optimization using evolutionary approach available in R? Any point to reference would be really appreciated. Thank you. - adschai

Hi, I encounter a situation where I have a list whose element is a column matrix. Says, $'1' [,1] 1 2 3 $'2' [,1] 4 5 6 Is there fast way to collapse the list into a matrix like a cbind operation in this case? Meaning, the result should be a matrix that looks like: [,1] [,2] [1,] 1 4 [2,] 2 5 [3,] 3 6 I can loop through all elements and do

Hi - Classic question that I tried to look up online and couldn't find a clear answer. It seems that I can have R to act as a server. But I never know how this works. Would anyone please provide an example or introduction material where I can learn about this? I'm trying to build an environment where computation are distributed/delegated among different servers requested whenever I need.

Hi,I have a result from polr which I fit a univariate variable (of ordinal data) with probit function. What I would like to do is to overlay the plot of my fitted values with the different intercept for each level in my ordinal data. I can do something like:lines(rep(intercept1, 1000), seq(from=0,to=max(fit),by=max(fit)/1000))where my intercept1 is, for example, the intercept that breaks between

Hi - I'm quite wondering what makes the lag operator does not work for my time series. I have a time series of length about 200000 elements. I would like to have a lag 1 of this time series. I did the following: logprice = log(price, base=exp(1)) # this is my log price which is a vector of price time series of length 200000 ts_logprice = as.ts(logprice, frequency=1) # convert to time series

Hi, I'm new to lattice. So please kindly be patient with me. I'm trying to arrange groups of levelplots into 3 rows as follows: Row1: Probabilities as functions of x and y, and conditioned on an event factor vector factor("a","b","c") Row2: Number of days as functions of x and y, and conditioned on, again the same event

Hi - I am using polr. I can get a result from polr fit by calling result.plr <- polr(formula, data=mydata, method="probit"); However, from the 'result.plr', how can I access standard error of the estimated coefficients as well as the t statistics for each one of them? What I would like to do ultimately is to see which coefficients are not significant and try to refit the

Hi, Sorry that I have many questions today. I am using svm function on about 180,000 points of training set. It takes very long time to run. However, I would like it to spit out something to make sure that the run is not dead in between. Would you please suggest anyway to do so? And is there anyway to speed up the performance of this svm function? Thank you. - adschai

Hi, I have a question around how to build data structure in R. I have to implement a tree structure of data. I'm wondering if R already has something like a tree where I can extend from or I need to start from scratch. If so, what would be the most effective way to represent parent and child node relationship? I realize that R is not based on pointer so it's quite a different paradigm for

Hi, I am using tsls function from sem package to estimate a model which includes large number of data. Among its predictors, it has a nominal data which has about 10 possible values. So I expand this parameter into 9-binary-value predictors with the coefficient of base value equals 0. I also have another continuous predictor. The problem is that, whenever I run the tsls, I will get 'System

Hi, I never use cobweb before and I'm quite new to this. I have a couple of questions around the cobweb implementation in R Weka. If you could supply answer or insight, I would really appreciate. 1. From Fisher's paper in 1987, it seems that Cobweb only deals with nominal data. In R Weka cobweb, is it allowed to accommodate real/continuous value? 2. My understanding is that Cobweb

Hi - I use stepAIC to automatically select the model. The stepAIC was applied on polr as follow:objPolr <- polr(formula=myformula, data=dat, method=METHOD);objPolr.step <- stepAIC(objPolr, trace=T);Then R complaints that it doesn't know about 'dat' when it executes the second line. Below is the exact error that I got when executing the stepAIC line above:Error in eval(expr,