similar to: Non-metric multidimensional scaling

Hello, I'm developing an ordination using metaMDS (package vegan). The analysis identifies 3 distinct groups that I'd like to define by either adding circles or ellipses to help identify the groups. The data set is a spatial temporal data base depicting change in each of 4 areas over 3 time periods. I can add lines that would link each of the time - x - area trajectories, but

Hello, I'm wondering if there are any packages/functions that can perform conditional sequential gaussian simulation. I'm following an article written by Grunwald, Reddy, Prenger and Fisher 2007. Modeling of the spatial variability of biogeochemical soil properties in a freshwater ecosystem. Ecological Modelling 201: 521 - 535, and would like to explore this methodology.

The vegan package has non-metric multidimensional scaling in addition to a variety of other ordination techniques. Regards, Helen Mills Poulos Yale University

Hello, I would like to perform an NMDS on the following: I have two independent variables, which are sites and treatments. I have 6 sites which are peatlands. I collected 5 replicates (at the same time) from each of the sites. I used each of the replicates in a treatment. There were 4 treatments. 2 were controls and the other two were a simulated 30 day drought and a simulated 60 day drought.

Hi, I am currently working on some data and feel that NMDS would return an excellent result. With my current data set however I have been experiencing some problems and cannot carry out metaMDS. I have tried with a few smaller data sets which I created for practice sake and this has worked fine. I think it is the set up of my data set that is causing me trouble. I have 18 columns and 18 rows,

my=function(x){ len=1 for(i in 1:len){ y[i]=x[i] } g=1 w=NULL t=NULL for(i in 1:len)w[i]=x[i+len] for(i in 1:len)t[i]=x[i+2*len] for(i in 1:len)g=g*dnorm(y[i])*dnorm(w[i])*dnorm(z[i]) return(g) } cuhre(6,1,my,rep(-100,6),rep(100,6)) Error in crff(match.call(), integrand, "cuhre", libargs, ...) : Additional argument not expected in the integrand function function change to

Hello, I apologize for eventual double-posting. I am trying to integrate a 2-dimensional function that already calls the function adapt. More precisely, I am calling adapt(2,lower=c(-100,-100),upper=c(100,100),functn=function(s){1-exp(-50*Unc enteredGauss(c(-10,10,-10,10),60,s)}) where UncenteredGauss is given by the following code in R:

Hi: I was wondering if someone could give me some examples of how to use the "integrate" function to perform multi-dimensional quadrature? I have a posterior density (up to a constant), for which I'd like to evaluate the normalizing constant. thanks for any help, Ravi.

i have a plain old array initialized like this: @columns = Array.new this array needs to be an array of arrays.. how do i tell ruby that this is an array of arrays? what i want to do is something like this: @columns[i] << ''some value'' where is is determined programattically.. obviously, ruby won''t let me do this since @columns[i] is not an array, but an

Hi, Suppose I have a matrix of size 256x14x32 in MATLAB. I want to import that into R. I used readMat and then do.call. But the variable is stored as an array as its done in R. However, I want to define a variable W=array(0,c(256,14,32)) in R and read the multidimensional matlab variable into W. I am not able to do this in R. Please, could you help ? Thanks Gopi [[alternative HTML version

Dear R-list, Hi everyone, Im trying to make an analysis of multidimensional contingency tables using R. I' working with the Agresti example where you have the data from 3 categories. The thing is how can I do the analisys using the G2 statistics. Somebody can send me an Idea? I attach the program where you can find the data. Best Regards, > prob1<-

Dear Statistics-Experts, Assume you have given a new and untested pseudo-random number generator (prng) and you want to test if it "works". The distribution function (cdf) from which the prng is supposed to sample is known. Further, you are given some finite (large) sample from the prng. If the sample is one-dimensional, we can apply the cdf to it and test the sample for being

I want to create a MDS plot with pairwise Fst values derived from a population genetics project. My Fst values are in a tab-delimited file (lower triangle only) that I view with Excel. When I use the cmdscale command I get the message: Error in cmdscale(x) : Distances must be result of dist or a square matrix In addition: Warning messages: 1: "^" not meaningful for factors in:

Hello, i want to create a multidimensional Array or Hash with group_by ''created_at''. 3 dimensions needed: myArray[week][day][data] currently i only created it with 2 dimesions: #model def self.group_per_day all.group_by{|t| t.created_at.strftime("%d. %B, %Y")}.sort #"%U" for Weeks end #controller @pdf_activities = Activity.group_per_day #view

Hi all, Does anyone know if there's R code available for doing Hybrid Multidimensional Scaling (or Semi-Strong HMDS, e.g. Belbin 1991 J. Veg. Sci. 2:491-)? I've found only commercial software that does it. Thanks, Anni

Hi Does anyone know if there's a package I can use to do Multidimensional scaling ? Thank's EJ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at

Hi, I was wondering if there is already some function implemented into R that reads in tables with more than 2 dimensions. There is probably something neat out there... Thanks, Werner Wissenswertes zum Thema PC, Zubeh?r oder Programme. BE A BETTER INTERNET-GURU! www.yahoo.de/clever

I sent a query to R-Help about the availability of nonmetric multidimensional scaling (MDS) algorithms in R. I would like to thank Tony Rossini, Jonathan Baron, Sundar Dorai-Raj, and Brian Ripley for helpful replies. The gist of the replies is that isoMDS in the MASS library provides Kruskal's method for nonmetric MDS, sammon in the MASS library provides Sammon's nonlinear mapping method

If something like the second-order function does not fit your data well, it may well be that the data do not admit a simple structure that you can easily code in C. If you expect the structure of the function to be simple, tell gam() so by specifying a small dimensional basis (via the k= argument in s()). This will probably ease the computational burden. HTH, Andy > -----Original

You can use R objects, such as the return from gam, and the predict.gam function, from C. See the R extensions manual. Reid Huntsinger -----Original Message----- From: RenE J.V. Bertin [mailto:rjvbertin at despammed.com] Sent: Thursday, February 27, 2003 3:42 PM To: Wiener, Matthew Cc: r-help at stat.math.ethz.ch Subject: Re: [despammed] RE: [R] multidimensional function fitting On Thu, 27