similar to: Object finalization

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

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, ...)

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"

I seem to remember something about an "internal" keyword for R doc files. How do we use it? Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New York at Stony Brook Stony Brook, New York 11794 USA Phone: 631-632-1101, FAX: 631-632-7626 http://life.bio.sunysb.edu/ee/keitt/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-

Its not clear from the documentation whether one should do \keyword[key1, key2} or \keyword{key1} \keyword{key2} in .Rd files. I believe the latter is correct. (At least 'R CMD check' complains when given the first version.) It would help to make this explicit in the R extension writing docs. Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New

I'm curious if any of the core R developers have considered the possibility of hosting R (v2?) on the parrot common runtime environment. Perl6 will generate byte-code for parrot, as will some future version of python. I can imagine both drawbacks and advantages. Some advantages would be fast byte-code execution and freely mixing perl, python and R modules. Anyone looked into this? Tim

I have an application where I need to preserve object attributes across calls to 'lapply'. The current definition is: lapply <- function (X, FUN, ...) { FUN <- match.fun(FUN) if (!is.list(X)) X <- as.list(X) rval <- .Internal(lapply(X, FUN)) names(rval) <- names(X) return(rval) } Would it make sense to replace names(rval) <- names(X)

Can a C function wrapped with .Call return void? Or must it return a valid SEXP? Thnx. Tim -- Timothy H. Keitt Department of Ecology and Evolution State University of New York at Stony Brook Stony Brook, New York 11794 USA Phone: 631-632-1101, FAX: 631-632-7626 http://life.bio.sunysb.edu/ee/keitt/ -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing

I'm doing convolutions in the frequency domain and need to know the layout of the Fourier modes returned by fft. (This is leading up to a more involved question about moment generating functions, but I need to know if I've got this part correct first.) I think in 1D the pattern is: 0 1 2 3 -2 1 (even) 0 1 2 3 -3 2 1 (odd) In 2D is it simply (for a square matrix): 0 1 2 -1 (horizontal)

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

A non-text attachment was scrubbed... Name: not available Type: text/enriched Size: 905 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/20010420/61ada248/attachment.bin

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 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

(Tried this query on r-help with no luck, maybe someone here can help?) I would like to call the 'RFinalizerEx' function that appears in Rinternals.h using ".Call". It worked for me in the past, but now I get an error message something like: 'call function name not in call table'. I'm using the 1.6.1 rpm from CRAN. Anyone know what's going on? Thanks. Tim --

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

Thanks for your reply. Yes, I was about to recurse over the use list of the argument in the called function. I did not want to pursue that because with this solution, I am going to implement the interprocedural part myself and was wondering if that was not already done. I was not also 100% sure that this will work for any type of arguments. If, based on your response, this is my only solution

Hello, I have been using the USE class to access the use-def chains of different values. However, what I have noticed is that the set of users of a particular value is limited for the appearance of that variable in the current function. How can I get the interprocedural use of a particular value? For example, if a variable *a* is used as an argument in a function call *foo*, the USE analysis

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

What exactly is a reference object? I'm getting this error message attempting to register a finalizer: can only weakly reference/finalize reference objects I don't see any problem with the code... Here's what appears to be the relevant portions. setClass("PDNNObject", representation(handle = "externalptr", id =

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