similar to: Potential biparite problem?

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

igraph is a package for graphs/networks. It has a C core and uses a simple and fast graph representation allowing millions of vertices and edges. LINKS Release notes for the 0.5.2 version: http://igraph.sourceforge.net/relnotes-0.5.2.html Release notes for the 0.5.1 version: http://igraph.sourceforge.net/relnotes-0.5.1.html Complete list of changes: http://igraph.sourceforge.net/news.html The

Hi I am new to Cygwin and Linux. I installed R under Cygwin as part of the setup I chose "All" during installation, for all packages. So I have the FULL installlation of cygwin up and running, including gfortran. *Under Cygwin, how do I check and configure the path to the various libraries?* I am trying below command and it says, cannot find "lgfortran" But I have installed

Dear R-help, After two days of search on the archive of your web-site, I found partial answers to the problem that I want to solve, but this is not concluent to me and I am thinking that perhaps someone could answer exactly my problem: I have a theoretical Model (for the prediction of some physical quantity) which can be seen as a linear Model with 2 parameters. On the other side the measured

I hate to suggest this, but we need to do what has been done on a few other lists that I'm on. We need to close the list off to only people that are members. It's a shame to see so much spam here after seeing it in my personal mailbox all day long. At 11:21 PM 7/24/97 +0000, you wrote: >Date: Thu, 24 Jul 1997 11:14:25 +0200 (MET) >From: Konstantin Eftaxias <kef@eeb.de>

Dear list, I hope this is the right place to post a feature request. If there's exists a more formal channel (e.g. as for bug reports), I'd appreciate a pointer. I work a lot with named nested lists with arbitrary degrees of "nestedness". In order to retrieve the names and/or values of "bottom layer/bottom tier", I love the functionality of 'unlist()', or

4000:6000 gives you 4000, 4001, ..., 6000. I suspect you want population= c(seq(4000, 6000, length=5), seq(3500, 4300, length=5), seq(3000, 3200, length=5)) Bob On 20 September 2017 at 17:07, Shivi Bhatia <shivipmp82 at gmail.com> wrote: > Hi Team, > > I using the syntax as: > > data.df<- data.frame( > city= c(rep(c("Delhi",

I have a simple (!) problem. What I want to do is to create a legend with Greek letters, and substituting numbers into the legend. Like this: mu=1:3 Mean=rep(mu, each=20) plot(runif(60), rnorm(60,Mean,0.1), pch=Mean) # create a plot legend(0.6,1.7, paste("mu =", 1:3), pch=mu) but with a Greek letter mu. I think the solution has something to do with substitute() possibly along with

I can only assume I'm betraying my ignorance here, but this is not what I would expect. I'm getting the following from a stepwise selection (with both step and stepAIC): > step(lm(sqrt(Grids)~ SE + Edge + NH), scope=~ (Edge + SE + NH)^2) Start: AIC= 593.56 sqrt(Grids) ~ SE + Edge + NH Df Sum of Sq RSS AIC <none> 2147.0 593.6 + Edge:NH 1

I just had a manuscript returned with the biggest problem being the analysis. Instead of using principal components in a regression I've been asked to analyze a few variables separately. So that's what I'm doing. I pulled a feather from young birds and we quantified certain aspects of the color of those feathers. Since I often have more than one sample from a nest, I thought I

The loop never assigns anything to d0, only t. The first line makes t a character string "d0$V1" (or "d0$V2" etc.). The second line assigns either 0 or 1 to t. Looking at this, I don't think you've got into the R psychology (bad news if you want to use R, good news in many other ways). I assume d0 is a list, so could you put the V's into a vector, and then just use

It might help if you provided the code you used. It's possible that you didn't use direction="backward" in stepAIC(). Or if you did, it was still running, so whatever else you try will still be slow. The statement "R provides only the pvalues for each level" is wrong: look at the anova() function. Bob On 29 June 2017 at 11:13, Beno?t PELE <benoit.pele at

I'm dealing with count data that's nested and has spatial dependence. I ran a glmm in lmer with a random factor for nestedness. Spatial dependence seems to have been accommodated by model. However I can't add a variance strcuture to this model (to accommodate heterogeneity). Is there a model that can have a poisson distribution *AND* a variance structure *AND* have AIC in output (for

Moi! A student here has been getting a bit irritated with some side effects of scale() (OS is Windows XP, the behaviour occurs in R 2.0.0, but not 1.7.1). The problem is that she scales a variable in a data frame, then does a regression, and tries to get some predictions for some new data. However, at this point she gets an error (see the example below). This seems to be because the

This is slightly off-topic, but there was a discussion about MCMC a couple of weeks ago. OpenBUGS can operate from R, at least in Windows (there are some problems in Linux at the moment). The interface with R is one are that there are plans to work on: it's a bit basic at the moment. Bob -- Bob O'Hara Dept. of Mathematics and Statistics P.O. Box 68 (Gustaf H??llstr??min katu 2b)

I am relatively new to NLME, so the solution to the problem I describe here may be obvious. But I've spent several days trying to get the right syntax to formulate random effects for this model appropriately. The full model is: nlme(a ~ a.mitscherlich(a.qe, a.max, lcp, light), data=light, fixed = a.max + a.qe + lcp ~ trt, random = a.max + a.qe + lcp ~ 1 | bench/line,

I am currently testing species co-occurrence patterns using null models and the oecosimu() function within the vegan() package. My issue is that none of the methods appear to be the ones that I want. The methods listed are r0, r1, r2, r2dtable, swap, tswap. However, I want to know how to go about implementing fixed row algorithms, as suggested in Gotelli 2000 in Ecology. Also, the null models

hi all. perhaps someone can help me with subsetting here............ i'm trying to use the nested() function in the bipartite package. my problem is that i have a list of 10,000 matrices and i want the output to be a vector of the nested() function on each of the 10,000 matrices (so i can use these numbers in a statistical test). here is what i'm working with currently: #to store

Hi! I am trying to implement non-bipartite matching. I have around 500 sites which can be clustered by 10 regions. I am able to calculate pairwise Mahalanobis distances between sites (thanks to another post in the forum). However, I want to constrain my match to sites within the same region. Thus I want to replace elements of the distance matrix with a high value, say 999999, for sites not of the

I have a problem with nlme on Windows 2000, and I'm having a devil of a time determining whether the problem is with my computer or with something in R. I'm running v1.8.1 on a Dell Pentium III with 512MB of RAM and all of the recommended Windows 2000 updates applied. If I use Rterm, I can run analyses with NLME to my heart's content. But when I run Rgui, I encounter a floating