similar to: Correspondence analysis/optimal scaling with ordinal variable

I have build R-1.6.0 on Jaguar (actually on 10.2.2), using gcc 3.1 from Apple, g77 3.1 from fink, ATLAS from fink. It passes all checks OK. I also re-compiled the 233 packages listed below with the same setup. I have NOT tested all these packages in any detail. A tar.gz file with the whole /usr/local/lib/R will be on ftp://gifi.stat.ucla.edu on Tuesday. It will NOT include anything from fink

I did: ./configure --with-blas='-framework vecLib' --with-lapack --with-aqua make sudo make install sudo make install-aqua Everything seems to be OK (some warnings about multiple definitions of some symbols). However: bass$ /Library/Frameworks/R.framework/Resources/bin/R Fatal error: unable to open the base package I got the same message when clicking on R.app in /Applications This

Hi list, not really a problem to solve but a strange unwanted behavior (at least I do not like it): I'm loading library(multiv) to use sammon. Later I load library(MASS) which tells me that sammon is masked now, because there is also a MASS version of sammon. Since I believe that the MASS version is at least as good as the multiv version, I would also use the MASS version, but help(sammon)

Hi, I have run rpart to construct a regression tree. Is there any simple method to draw a nice picture of it, as it is usually done in books and paper to visualize the tree? Thank you, Christian *********************************************************************** Christian Hennig Fachbereich Mathematik-SPST/ZMS, Universitaet Hamburg hennig at math.uni-hamburg.de,

Hi, exist a special cluster-analysis algorithms which can work with NA's. a further "problem" is that i want cluster variables not cases to identify special variable-set's. Is it a common way turn the data.frame and use kmeans,because this works with NA's, or have anybody another method for finding "variable-sets" , with exception of factor analysis. thanks for

Hello list, I try to optimize some R code and it turns out that the function as.matrix takes a lot of time in my code. There is only one reason why I need as.matrix: My code should work for matrices with ncol=p and p should be allowed to be 1 or larger. Now I have a matrix x with dim(x)=(n,p), and I need to work with the submatrix y <-x[gv,], (gv a vector of n logicals) and to calculate

Has anyone successfully check/build tseries for MacOSX? It seems like there is the same problem with symbols duplications. The -m like option does not seem to help. stefano

...unless its me missing something... > help.search("prompt", agrep=F) Error: couldn't find function ".class1" > traceback() 12: initialize(value, ...) 11: initialize(value, ...) 10: new("ObjectsWithPackage", value, package = pkg) 9: metaNameUndo(unique(these), prefix = "M", searchForm = searchForm) 8: methods:::getGenerics(ns) 7:

Hello list, I want to apply svm from library e1071, and I want to supply class weights. I do not really understand the help entry (and there is no example) class.weights: a named vector of weights for the different classes, used for asymetric class sizes. Not all factor levels have to be supplied (default weight: 1). All components have to be named. I have two

Dear R-users, I have a two - dimensional data set which needs to be clustered into groups: I'm searching for groups of points which show a positive correlation (in a twodimensional plot of the data set), but I do not have any knowledge about how many groups there might be. Do you know of a clustering algorithm in R (or in general) which can use a-priori information about the cluster's

Dear group, I would like to document more than one function on one help page using the Rd language. I tried something like \value{ \code{foo1} returns a list with components \item{arg1}{Argument 1} \item{arg2}{Argument 2} \code{foo2} returns a list with components \item{arg3}{Argument 3} \item{arg4}{Argument 4} } Unfortunately this makes the text "\code{foo2} returns a list

Hi, I want to do something like this: par(mfrow=c(7,7)) for (i in 1:49) hist(RATDACOM[SUBJNO==i],breaks=0.5+(0:6), main="",xlab="",ylab="",xaxt="n",yaxt="n") (Don't think about what RATDACOM and SUBJNO are.) I get an error Error in plot.new() : Figure margins too large. 36 histograms with mfrow=c(6,6) work. But the 36 histograms

Hi list, is there any direct way to obtain confidence intervals for the regression slope from lm, predict.lm or the like? (If not, is there any reason? This is also missing in some other statistics softwares, and I thought this would be quite a standard application.) I know that it's easy to implement but it's for explanation to people who faint if they have to do their own programming...

Hi, I would like to use the format function to get numbers all with three digits to the right of the decimal point, even in cases where there is no significant digit left. For example, I would like to get c(0.3456789,0.0000053) as "0.346" "0.000". It seems that it is not possible to force format to print a "0.000", i.e. without any significant decimal places. Is it

Hi, I'm using the library cluster to cluster a set of figures (method CLARA). Somebody that it work with clustering would know informs what I make to evaluate the clustering? Tks VM, Francisco. ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Francisco Júnior, Computer Science - UFPE-Brazil "One life has more value that the world whole" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

Hi, I want R to be installed on a UNIX network (Solaris). I am not the system administrator and so I cannot do it myself. The system administrator wants to know which packages I want, and it may be a lot. Is there an easy way to download and install all packages at once? Is it a good idea? (There is a good chance that I do not need the some few packages that do not install well during such a

Dear list, I just tried to use the function cluster.stat in the package fpc. I just have a couple of questions about the syntax: cluster.stats(d,clustering,alt.clustering=NULL, silhouette=TRUE,G2=FALSE,G3=FALSE) 1) the distance object (d) is an object obtained by the function dist() on my own original matrix? 2) clustering is the clusters vector as result of one of the many clustering methods?

Hello, I would like to calculate a cluster analysis and I use the function 'hclust'. I have seen the GRAPHICAL results of this function with 'plot'. I would like to analyse this cluster but I don't know how to see the NUMERICAL results of each step of this cluster like: - R Squared - Pseudo F - Pseudo t**2 Thank you for any help, Pierre-Olivier Chasset ===== Pierre-Olivier

Hi, Does anybody know some package or function that computes canonical variates? Luis & Janete -------------------------------------------- sapo.pt/kitadsl -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the

Dear group, I want to use the mclust package on large data, and therefore I want to use a subset in the initial clustering phase. From help(mclust): k: If `k' is specified, the hierarchical clustering phase will use a sample of size `k' of the data in the initial hierarchical clustering phase. The default is to use the entire data set. m2 is a