similar to: Problem installing MASS-Package

Hi I tried to install the sem package and it was succsessful but I keep getting the following message Paket 'sem' erfolgreich ausgepackt und MD5 Summen abgeglichen Die heruntergeladenen Pakete sind in C:\Users\Dean\AppData\Local\Temp\RtmpVRxlLZ\downloaded_packages aktualisiere HTML Paketbeschreibungen Warning message: In file.create(f.tg) : kann Datei

Hi, when I try installing new packages (in this case DBI) I run into the following problem: Paket 'DBI' erfolgreich ausgepackt und MD5 Summen abgeglichen Warnung: kann tempor?re Installation 'C:\Programme\R\R-2.7.0\library\file5f906952\DBI' nicht nach '? xlD?? $@\R\R-2.7.0\libra' verschieben Has anybody any idea where these strange symbols come from? Thanks in

Hi @all! Sorry about that many questions, but after searching and reading tons different web sites, I didn't find exactly what I am searching for. So, I know that with the -z Option rsync compresses the files with gzip, than the files are transfared and at the target machine uncompressed. I want to know, is there a possibility to see how big the compressed file is, which rsync generates

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

Hi, I'm trying to do a non-metric multidimensional scaling using isoMDS. However, I have some '0' distances in my data, and I'm not sure how to deal with them. I'd rather not drop rows from the original data, as I am comparing several datasets (morphology and molecular data) for the same individuals, and it's interesting to see how much morphological variation can be

Dear useRs, last week I asked you about a problem related to isoMDS. It turned out that in my case isoMDS was trapped. Nonetheless, I still have some problems with other data sets. Therefore I would like to know if anyone here has experience with how well isoMDS performs in comparison to other non-metric MDS routines, like Minissa. I have the feeling that for large data sets with a high

Hello everyone, I've tried to install the R gsl package but without success because R claims there needs to be a gsl library version >= 1.12 installed on the system. Actually gsl library version 1.12 is installed locally in my home directory and I set PATH and LD_LIBRARY_PATH in .bash_profile to point to corresponding bin and lib directory. gsl-config is accessible from everywhere in the

Hi, I am looking for the best multidimensional configuration for my data (47*47 distance matrix). I ve tried classical metric (cmdscale) and non metric MDS (isoMDS, nmds) but it is now difficult to choose the best solution because of the uncertainties in the definitions of the "stress" function. So, same problem, several questions : 1. Statistical consideration : With

Hi, I'm trying to use isoMDS to project a directed graph to 2-dim vectors, but I got an error. #here is the code to create the graph using igraph package and run isoMDS on it. library(igraph) library(MASS) g<-make_graph(c(1,2, 2,3, 2,4, 3,4, 4,5, 5,6, 3,6, 1,6, 2,5),directed=TRUE) dist<-distances(g, mode="out") loc<-isoMDS(dist) # below is content of the dist matrix

Hello everyone, I have a question on isoMDS. My data set (of vegetation) with 210 samples is in this way: Rotfoehrenau Lavendelweidenau Silberweidenau .... 067_Breg.7 0 2 0 .... 071_Dona.4 0 2 6 .... ... I want to do an isoMDS-analysis with the dissimilarity index

I am starting with a matrix in which rows are vegetation plots and columns are various characteristics including ID# and elevation. I removed elevation and ID columns to avoid having those characteristics influence the distances between points which I calculated using the "dist" command. The resulting distance file was then used in isoMDS. What I want to know is whether I can

Dear all, I'm completely new to R and at first I must say that it is a great program! But I have a problem with the function isoMDS from the MASS package. I have this code which I load with source() from a file: x <- c(163.59514923926784, 150.01448475257115, ...... {here are some more values}) x.sort <- sort(x) x.dist <- dist(x.sort) library(MASS) x.mds <- isoMDS(x.dist)

Hello, err dump [1], perhaps related [2]. Also $ sudo chown -R xyz:staff ~/R # sudo su; su xyz; groups web-content staff Not just vim-R-plugin -problem anymore, more pkg -installation -prob, doubting perms/group -issue but fixed them in accordance by Dirk's hints. What is the problem in installing packages? -- Regards, Henri Losoi -- [1] http://pastie.org/4577538 [2]

If tbl is an object of class 'dist', you can do this: a <- sammon(tbl, k=3) But you can't do this: b <- isoMDS(tbl, k=3) Wouldn't it be sensible to have identical interfaces to sammon() and isoMDS() ? I think all that would be needed is to change this: isoMDS <- function(d, y=cmdscale(d, 2), maxit=50, trace=TRUE) { ...into this: isoMDS <-

Hi We have a few questions regarding the use of the "isoMDS" function. When we run "isoMDS" function using 60,000 x 60,000 data matrix, we get the following error message: ------------------------------------ cmdscale(d, k) : invalid value of 'n' Calls: isoMDS -> cmdscale ------------------------------------ We checked the source code of "cmdscale" and

Hi, For example: I built a half matrix "w" using a daisy(x, metric = c("euclidean")) http://www.nabble.com/file/p25211016/1.jpg And next I transformed this matrix "w" using isoMDS function, for example isoMDS(w, k=2) and as result I got: http://www.nabble.com/file/p25211016/2.jpg And now I have two questions: 1. If number in matrix w[2, 1] (= 0.41538462) match

When I type "isoMDS()" in the R environment, a error shows up: no such function "isoMDS". Why? And what should I do to use isoMDS? Additionally, I cannot install add-on packages. Typing "Rcmd.exe INSTALL e:/VR_7.2-44.zip" results in "'perl' is neither command nor executable file...". Why this happens?Thanks. The setup file I downloaded is

I'm not sure this belong here... Package: MASS Version: 6.2-8 I get a core dump when I call isoMDS with an incorrect argument for y. With d as an object of class "dist": > isoMDS(d,2) Program received signal SIGSEGV, Segmentation fault. 0x40229e43 in VR_mds_init_data () at MASS.c:157 --please do not edit the information below-- Version: platform = i586-pc-linux-gnu

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 all, I try to calculate the stress of a configuration using the formula in the isoMDS help, but I don't have the same result than the stress returned by isoMDS : > library(mva) > library(MASS) > data(swiss) > swiss.x <- as.matrix(swiss[,-1]) > swiss.dist <- dist(swiss.x) > swiss.mds <- isoMDS(swiss.dist) initial value 2.979731 iter 5 value 2.431486 iter 10