similar to: plot(x,y,axes=F) (PR#650)

Hi, there, S+ has a function leaps which can be used for criterion based model selection. Is there an equivalent function in R? thanks in advance. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 (516)632 9344 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

When I use the function cancor of mva package, I found that it doesn't work when one of the matrix has only one column, or both have only one column. The function in Splus 5 with the same name works under those situations. The version of R I am using is 0.63.2 (released on Jan., 1999) on Solaris. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook

Hi all, I have successfully made and installed both gdal, and proj.4, but still cannot get rgdal to be installed in R. I think i'm very close. I do not have root access, if that matters, i've installed everything locally. I'm using debian on a beowulf cluster. I call: install.packages("rgdal", .libPaths()[1], configure.args =

Hi Everyone, I posted a similar question about a week ago, but haven't gotten any replies -- I'm afraid that's because my previous question was too vague. Let me try again with a more specific question, and I hope someone can help. NOTE, I know I should be using the newer lme4 package, I just haven't had a chance to update my version of R yet, so the question below relates

I see some code in R to attach finalizers to external pointer references (Register[C]Finalizer). Anyone have an example of how to code the finalizer? R_RegisterCFinalizer accepts a C function, but I can't see how to get it to operate on the pointer, since the pointer is not passed to the function when its called. RegisterFinalizer takes an R closure, but how is it called from R (tried

Hi, A question. When I run gelman.diag and gelman.plot with mcmc lists obtained from MCMCregress, the results are following. > post.R <- MCMCregress(Size~Age+Status, data = data, burnin = 5000, mcmc = 100000, + thin = 10, verbose = FALSE, beta.start = NA, sigma2.start = NA, + b0 = 0, B0 = 0, nu = 0.001, delta = 0.001) > post1.R <- MCMCregress(Size~Age+Status, data

Full_Name: Tim Keitt Version: 1.4 OS: Linux Submission from: (NULL) (129.49.19.70) I think this code in 'ts' is incorrect: if (is.matrix(data) || is.data.frame(data)) { nseries <- ncol(data) ndata <- nrow(data) dimnames(data) <- list(NULL, names) } since > x <- data.frame(matrix(rnorm(100),ncol=10)) > names(x) [1] "X1"

Based on the stepAIC help, I have assumed that it only was for lm, aov, and glm models. I gather from the following correspondence that it also works with lme models. Thomas Lumley 07:40 a.m. 28/04/03 -0700 4 Re: [R] stepAIC/lme problem (1.7.0 only) Prof Brian Ripley 04:19 p.m. 28/04/03 +0100 6 Re: [R] stepAIC/lme problem (1.7.0 only) Prof Brian Ripley 06:09 p.m. 29/04/03 +0100 6 Re: [R]

I'm revisiting the R/S DBI package and was wondering if there is any plan to implement package name spaces in R/S. I've taken to the habit of prepending a few characters to function names in packages to avoid collisions, e.g., dbConnect(). An alternative would be DBI::connect() (s/::/preferred/) which in some ways I find more pleasing. Not having thought about it in detail, it seems pretty

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I have a vector consisting of zeroes and ones, e.g. 101001. I would like to pick a random element from this vector equal to one. In the example above, that means that only elements 1, 3, or 6 can be chosen. Is there a simple and fast way to do that? (my vector of zeroes and ones is very large) Thank you. --------------------------------------------------------- Oleg Smirnov Assistant Professor

Is there any plan to compile leaps library for windows? thanks. Kenny Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 Phone (631)632-9344 Fax (631)632-8490 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send

Is there any way of preserving order of ordered factors when storing a table in PostgreSQL? I have been using PostgreSQL and the RPgSQL package to store a large table with answers such as "Strong disagreement", "Strong agreement", "Mild disagreement". "Mild agreement". When reading the table, such answers are turned into factors, apparently in

Hi, I'm working with Prof. Zadok on versionfs, a stackable versioning file system. I face some problems with the unlink operation on ext3 with htree. On an unlink, I make a copy of the file (version/backup) and unlink the original file. But some files that have been unlinked are "linked back" to another file. For example, on deleting the file 'foo', the file itself is

Hi, is there R function that does factor analysis? Thanks in advance. Kenny Ye Assistant Professor Department of Applied Math and Statistics SUNY at Stony Brook Stony Brook, New York 11794-3600 (516)632 9344 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Howdy! I need to calculate partial correlations and I just can't find out how to do that with R. Can anybody help? Ragnar -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 !)

Hi, I tried installing R on my system (Debian Linux 2.2.17, i386). I find that libf77blas.so is missing. Can someone tell me where and how I can find this? A search in debian.org didnt turn up anything. Anyway help will be greatly appreciated. Thanks, Anand _________________________________________________________________________ Get Your Private, Free E-mail from MSN Hotmail at

I've been putting together a package that defined generic methods for database access. The packages is called "Rdbi." It borrows as much as possible from existing database packages / proposals. I'd like to start a discussion about the proposed interface. Here's what I've come up with so far: # # Rdbi: connectionMethods.R # dbConnect <- function(dbObj, ...)

Hi, I am sorry for this question, but I am trying to speed up an application.... I will need to fit many x-y data sets (input from text files) to 4-parameter Pseudo-Voigt peak function. Until now I used SigmaPlot macro to do it (enclosed just in case...) peaksign(q) = if(total(q)>q[1], 1, -1) xatymin(q,r) = xatymax(q,max(r)-r) [Parameters] a = if(peaksign(y)>0, max(y), min(y))

A consensus seems to emerge : R would excel to exploratory work on small/middle-sized datasets, while SAS would be able to munch much larger datasets. However, I see the "size" problem as a red herring. The objects that have to stay "in core" are usually much smaller than the dataset. For example, for problems involving fixed-effects linear models, you need only some