similar to: Installing packages on OS X

Hello I will be applying MDS (actually Isomap) to make a psychological "concept map" of the similarities between N concepts. I would like to scale to a large number of concepts, however, the resulting N*(N-1) pairwise similarities is prohibitive for a user survey. I'm thinking of giving people random subsets of the pairwise similarities. Does anyone have recommendations for this

hi, my attempt to install the package Hmisc v3.0-1 fails with the message: /usr/bin/ld: cannot find -lfrtbegin collect2: ld returned 1 exit status make: *** [Hmisc.so] Error 1 ERROR: compilation failed for package 'Hmisc' i'm at a loss here. any hints will be very much appreciated. i'm running: debian stable R version 2.0.1 gcc 2.95.4-14 g77 2.95.4-14 binutils 2.12.90.0.1-4

Dear all, I'm trying to get a two dimensional embedding of some data using different meythods, among which princomp(), cmds(), sammon() and isoMDS(). I have a problem with sammon() because the coordinates I get are all equal to NA. What does it mean? Why the method fails in finding the coordinates? Can I do anything to get some meaningful results? Thank you very much Domenico

hi, My code: data<-matrix(data=c(0.425,0.5,0.75,0.125,0.25,0.475,0.375,0.25,0.625,0.5,0.1,0.125,0,0.25,0.25),nrow=3,ncol=5,byrow=TRUE, dimnames=list(c("Good","Medium","Bad"),c("Content","Logistic","Trainer","Supply","User contribution"))) plot(corresp(data,nf=2),xlim=c(-1,1),ylim=c(-1,1)); The plot is

Dear all, I didn't find any graphical solution in the package "mva" to plot the canonical scores from a CCA (canonical correlation analysis). Does anybody knows how to plot or has anybody already programmed : - the map of the canonical scores, - the graph of the canonical weights, - the correlation circle i.e. the canonical loadings ? Thank you for help ...

I've been unable to find a R package that provides the means of performing Clarke & Ainsworth's BIO-ENV procedure or something comparable. Briefly, they describe a method for comparing two separate sample ordinations, one from species data and the second from environmental data. The analysis includes selection of the 'best' subset of environmental variables for explaining

I just noticed that two key pieces of information are not given by the summary() command: N and SD. we are given the N missing, but not the converse. I know these summary value can be obtained easy, but can't understand why these two pieces of information are not provided with the other info. Thanks, Gerard

Is there a way of running BUGS on OS X (from R)? I only see Windows versions on their website. If not, what are the alternatives for Bayesian analysis? Thanks, Tamas

Message 2 of today: it works now. After re-installing R.app from the same R-2.1.0.dmg file, and fixInNamespace'ing(*) install.packages(), I managed to update 23 outdated packages from CRAN binaries for MacOS X. What I did was to: 1. change call to .install.macbinaries() into call to install.binaries() in install.packages(). install.binaries() is a function defined utils/R/aqua/GUI.R. 2. I

Dear List: I have a question regarding an MDS procedure that I am accustomed to using. I have searched around the archives a bit and the help doc and still need a little assistance. The package isoMDS is what I need to perform the non-metric scaling, but I am working with similarity matrices, not dissimilarities. The question may end up being resolved simply. Here is a bit of substantive

I find it a bit peculiar that a package skeleton created with a utils function package.skeleton() fails subsequent R CMD check. I do understand that the function is intended to produce only a skeleton that should be edited by the package author. I think that it would be justified to say that the skeleton *should* fail the test. However, I have two arguments against intentional failure: * When you

Hi all, I'm trying to perform an MDS of some data that I have. When I use cmdscale everything is fine and I get some interesting results however, the tends to be low. What I wnat to do is compare this with the Non-Metric MDS using isoMDS or sammon. However, when I try using these I get the following message. Error in isoMDS(x.dist) : zero or negative distance between objects 2 and 4

I'm looking to switch to Mac platform. Anyone had any experience with that? I'm expecting on a power G4 laptop later this week.... hope R behaves... -- dok

Hi, It seems like a number of people on this list can install rgl but have problem loading it. I found myself in the same situation too. I have tried the workaround of removing /usr/X11R6/lib from DYLD_LIBRARY_PATH, but it doesn't seem to work for me, I am still getting the same error (that everyone else seems to get). Can anyone give me some ideas on what else to try? I have Mac OS 10.3.5,

Dear all, in package Hmisc `rcorr' computes a matrix of Spearman's `rho' rank correlation coefficients for all possible pairs of columns of a matrix. What if I want a matrix of rank correlation coefficients for pair of columns of two different matrices? I have the same question about distance metrics in package Vegan. The function 'vegdist' computes distance indexes for all

Dear All, I would like to ask clarifications on the gower distnce matrix calculated by the function gdistin the library mvpart. Here is a dummy example: > library(mvpart) Loading required package: survival Loading required package: splines mvpart package loaded: extends rpart to include multivariate and distance-based partitioning > x=matrix(1:6, byrow=T, ncol=2) > x [,1]

Please could you help me to find a package to apply a depth-constrained cluster analysis on palaeoecological data (in order to zone subfossil diagram)? Thanks, Dr. Emmanuel GANDOUIN Université d'Aix-Marseille 3 Institut Méditerranéen d'Ecologie et de Paléoécologie UMR CNRS 6116 Europôle Méditerranéen de l'Arbois, Bat. Villemin, BP 80 13545 Aix-en-Provence cedex 4 04 42 90 84 40

Hi, I try to use Emacs or XEmacs with R in a MacOS X Panter without X11. Anybody can make this work? How? Thanks Ronaldo -- Um mapa-mundi que nao inclua a utopia, nao e digno de consulta, pois deixa de fora as terras a que a Humanidade esta sempre apontando. -- Oscar Wilde -- |> // | \\ [***********************************] | ( ? ? ) [Ronaldo Reis J?nior ]

Dear R Should I be concerned if the loadings to a Principle Component Analysis are as follows: Loadings: Comp.1 Comp.2 Comp.3 Comp.4 X100m -0.500 0.558 0.661 X200m -0.508 0.379 0.362 -0.683 X400m -0.505 -0.274 -0.794 -0.197 X800m -0.486 -0.686 0.486 0.239 Comp.1 Comp.2 Comp.3 Comp.4 SS loadings 1.00 1.00 1.00 1.00 Proportion Var 0.25 0.25 0.25

Dear colleagues, I a m a beginner with R and I would like to add labels (i.e. the variable names) on a pca loading plot to determine the most relevant variables. Could you please tell me the way to do this kind of stuff. The command I use to draw the pca loading plot is the following : Plot(molprop.pc$loading[,1] ~ molprop.pc$loading[,2]) Thanks for your help Fred Ooms