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Dear group: I wrote a code to iterate a non-linear fit with a set of data. The entire process didn't implemented to the end because an error message, "singular gradient". I knew that some sub-sets (columns) do not fit my formula well and may result in parameters going to infinity. It is pretty hard to remove those sub sets before running the code since that will take a lot of

I apologize in advance if this is posted all ready I have not been able to find any information about it. I have this data frame and I want to sort smoking by retlevel. Age Gender BMI Calories Fat Fiber Alc retlevel Smoking 1 64 Female 18.87834 1828.0 63.4 14.7 0.0 Normal Non-Smoker 2 25 Female 20.64102 1517.4 59.1 5.9 0.0 Normal Smoker 3

I wish to estimate sparse causal networks from simulated time series data. Although there's some discussion about this problem in the literature (at least a few authors have used lasso and l(1,2) regularization to enforce sparsity in multivariate autoregressive models, e.g., http://user.cs.tu-berlin.de/~nkraemer/papers/grplasso_causality.pdf), I can't find any R packages with these

I dont get it: > is.vector(c(mydf[1])) [1] TRUE > unique(c(mydf[1])) Error in unique(c(mydf[1])) : unique() applies only to vectors > Is it a vector or not? This stuff is driving me nuts. I'm simply trying to convince R that my grouping vector is actually a vector so that unique will work. Its just a vector of numbers, so why shouldnt it work? --

I know this seems like a very easy question (and maye it is) but I've been trying to simulate nested data and been unsucessful so far.. I want to simulate a varying number of species within a group; and then create an array to store the results of my for-loop. For example: groups<-3 species$groups<-as.integer(runif(groups,1,10)) #species per functional group ###create arrays to store

Dear list, I'm having trouble to see how my elements on a 4 dimensional array are listed. For example, I generated the following array: junk.melt=melt(occ.data,id.var=c("Especie", "Site", "Rep", "Año"), measure.var="Pres") y=cast(junk.melt, Site ~ Rep ~ Especie ~ Año) Now, I want to be able to look at how my species (Especie) are listed, in

Hi, I am trying to submit a patch to R-1.7.0 with new features. I'm wondering what the guidelines are. Thanks ! Venkatesh -Bioinformatics Group- -New York Univerity- ----------------------------- Home: 144 Kensington Avenue #2, Jersey City, NJ 07304 Ph: 201 536 1314 Office: 715 Broadway #1014, New York, NY 10003 Ph: 212 998 3373

Hi all, I would like to know whether there is any function in R were i can find the cross-correlation of two or more multivariate (time series) data. I tried the function ccf() but it seems like to have two univariate datasets. Please let me know. sincerely, sandeep -- Sandeep Joseph PhD Post Doctoral Associate Center for Tropical & Emerging Global Diseases Paul D. Coverdell Center,

Hello! With this email we release an extension to OpenSSH that was initially developed as project for our studies at the Univerity of Applied Sciences in Hagenberg. First we would like to describe the purpose of using Zero-Knowledge (ZK) for user authentication. Traditional authentication methods like challenge-response with passwords or public keys leak information about the credentials of

Hi, Is there a routine available in R for the Newton-Raphson method for simulataneous equations in several unknowns? Thanks Robert -- Robert J. Chandran Department of Botany 3506 Miller Plant Sciences Building University of Georgia Athens, GA 30602 Phone: (706)-583-0943 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

I was wondering if there is a way of predicting factor scores of new data for factor analysis in R (similar to "predict" in S-plus). So far I have not been able to find it, nor found reference to it. Thanks, Chris Fonnesbeck -- ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~* Christopher J. Fonnesbeck Ph.D. Student Georgia Cooperative Wildlife Unit University of Georgia Athens, GA 30602

Hi Lauren, Did you ever receive an answer on this? I?ve been having the same errors, and am stumped, so I?d love to hear how you sorted this out with your models. Thanks for your help! Cheers, Rachel -- Rachel Smith PhD Candidate Odum School of Ecology University of Georgia Athens, GA 30602

Can one perform a QDA in R? I do not see it anywhere within the mda package. Any pointers here would be appreciated. Thanks, cjf -- ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~* Christopher J. Fonnesbeck Ph.D. Student Georgia Cooperative Wildlife Unit University of Georgia Athens, GA 30602 Email: cjf at fonnesbeck.net Yahoo: fonnesbeck_chris ~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*~*

Perhaps I am missing something incredibly basic, but I can't get the wireframe function to plot anything other than an empty graph with axes (and the correct scale). Cloud() works just fine, as does scatterplot3d(), and wireframe() works fine for other data sets I have. Are there some data sets that can't be plotted with wireframe()? If so, what are the characteristics that prevent

Hi, I'm trying to perform a glm model on count data (poisson distribution of the errors) where data are nested. glmmodel<-glm(y~x/z,poisson) x and z are factors, z nested within x, y is count data. In that point the R just "stuck" and not respond anymore. I tried glmmodel<-glm(y~x,poisson) and there were no problems. Trying glmmodel<-glm(y~x/z) gave the same no response.

I use mac os 10.3.9 and I've installed in my computer R 2.1.0 (I believe this is the latest R version). Although it works alright when I open R by clicking in the R icon, I cannot use the graphics facility when I open R from a X-terminal window (or x-11 window). In fact, when I try to open R I get the message that I pasted below. Is this a R bug? Is R assuming that I should have the

R version 3.2.2. library(vegan) I was to look at community tables from my dendrograms and am trying out the vegemite command. This is the error I get: Error in vegemite(apst, apst.clusters) : Cowardly refusing to use longer than 1 char symbols: Use scale I thought the problem was that I was using the log transformed data, but I tried it on the raw (which is single digit numbers), and still

Hi, I am running R on my iBook (OS X 10.4) and whenever I try and plot a model that has been run, I get a grey background. This makes the plot difficult to read on b&w printouts. I have tried changing the background to white (or any other color) without any success. Here's a current example plot(augPred(m2corn.nlme, level=0:1), bg="transparent", lty=c(1,4), pch=19,

I have Polycom ip-300 phones that worked yesterday but dont seem to work today (at least dtmf signalling once connected to the asterisk box) The current configuration is: [general] port = 5060 bindaddr = 0.0.0.0 context = test srvlookup = yes dtmf = inband allow = all dtmfmode=inband progressinband=no disallow=all allow=ulaw pedantic=no [202] type=user secret=xxxx context=test mailbox=202

http://www.ruby-forum.com/topic/73035#new Hi, I think I have network issue on my XP PC here trying to run up InstantRails and using it. I create an application and run up the server "ruby scripts/server" and it runs up, but then when I try to browse to it the browser just sits and spins and doesn''t connect :( Note that I posted this at