similar to: R parser

Hello, I have a question about addTaskCallback It is said that the argument visible allows to know wether the result of the top-level evaluation was printed or not. Nevertheless, in the following example, I encountered a problem, as it seems not all printed objects are visible... Could someone tell me where is the tip? TIA

Hi to all R/S gurus, I am developping a library to export R/S objects to HTML (there was developments of this library past year, by myself and Mathieu Ros, but we never finished it). For that, I wrote HTML.* functions handled by the generic method HTML. At this step, allmost all objects exportations are possible: matrix, atomic, data.frame, functions and even plots... but I still don't

Dear all, Some days ago, I asked to the list a way to recursively handle lists objects, so that on can apply a function only on terminal nodes. Thank you for all the answers. You will find here a little summary of answers with comments: - lapply allows the user to apply a function on all the items of a list, supposing this is a list with a unique depth (like:

Hi to all R users, I have just uploaded in CRAN R2HTML 1.3, latest update of the R2HTML package, so that it should soon be available for your favorite platform. CHANGELOG: - Fixed some user-contributed bugs. - More CSS styles are defined, so that it's possible to change the whole look-and-feel of outputs / Add some CSS sample files. - Added HTMLstem to produce a stem-and-leaf plot (as

Hi to all R users, I have just uploaded in CRAN R2HTML 1.3, latest update of the R2HTML package, so that it should soon be available for your favorite platform. CHANGELOG: - Fixed some user-contributed bugs. - More CSS styles are defined, so that it's possible to change the whole look-and-feel of outputs / Add some CSS sample files. - Added HTMLstem to produce a stem-and-leaf plot (as

Here's another way: > dat <- read.table("clipboard", header=TRUE)[,-(1:3)] > dat A B C D E F G H 1 1 1 0 0 0 0 0 0 2 1 0 1 0 0 0 0 0 3 1 0 0 0 1 0 0 1 4 1 0 0 0 0 1 1 0 5 0 1 1 1 0 0 0 0 6 0 0 1 0 1 0 1 1 7 0 0 0 1 1 1 0 1 8 1 0 1 1 1 0 0 1 9 1 0 1 1 0 1 1 0 > apply(dat > 0, 1, function(idx) paste(names(dat)[idx], collapse=" ")) 1 2

Hi UseRs, I don't want to die beeing idiot... I dont understand the different results between: cor() and cov2cov(cov()). See this little example: > x=matrix(c(0.5,0.2,0.3,0.1,0.4,NA,0.7,0.2,0.6,0.1,0.4,0.9),ncol=3) > cov2cor(cov(x,use="pairwise.complete.obs")) [,1] [,2] [,3] [1,] 1.0000000 0.4653400 -0.1159542 [2,] 0.4653400 1.0000000

Hi useRs, I have uploaded on CRAN R2HTML version 1.4-3, which should be available soon for your favorite platform. For R 2.0.0, I had to rewrite some parts of the code so that it works. I did that quickly (maybe too), letting some bugs. Now, this is mere the good R 2.0 version, with some new functionalities: - HTML.matrix and HTML.data.frame now can use several new output options as they

Hi useRs, I have uploaded on CRAN R2HTML version 1.4-3, which should be available soon for your favorite platform. For R 2.0.0, I had to rewrite some parts of the code so that it works. I did that quickly (maybe too), letting some bugs. Now, this is mere the good R 2.0 version, with some new functionalities: - HTML.matrix and HTML.data.frame now can use several new output options as they

Hi R-devel, Today I was needing a way to "merge" two different lists (see the example for my definition of merge). I didn't find anything relevant using different search methods. So, here is my proposal to add a list method for "merge". Best wishes, Eric PS: AFAIK, there still is no place for code snipplets. I am not sure this mail doesn't suite R-devel. If not,

Hello any R user, Working on R 1.8.1 or R 1.9 on Windows, 256 Mb RAM. I am trying to debug/correct/speedup the execution of one of our student's program. Basically, we perform simulations. R is launched with high memory-limits. One execution of the program requires nearly 200 Mbs and is OK the first time. Then, launching it again does strange things: seen from Windows manager, the RAM

Hi R users, I am currently using c(...,recursive=TRUE) to handle list-structured objects. This allows to represent something like: > l1 = list(level1=1,level2=list(sub1=1,sub2=2)) as: > (l1names = names(c(l1,recursive=TRUE))) [1] "level1" "level2.sub1" "level2.sub2" Then, one can use: > (l1names = sapply(l1names,FUN=function(element)

Hi to the Devel list, I am at present developping a little Excel add-in that would consist into a translation of John Fox RCommander package. The idea is to have R code that recreates within Excel the menus and some VBA part that handles data input and outputs (those beeing redirected to HTML and imported within Excel in a user-transparent way). Actualy, a first beyta version of this add-in

Hello useRs, This email is about the ROMA project, the implementation in pure S of a reporting system for R. Several month ago, I did then send on R-help a survey on that (mainly: what features did you expect for a reporting system). During the following months, I did try different approaches for the core functionalities, ending now with a set of generic functions of which I am satisfied. More

Hello, I would find it very usefull to have the ability to load packages with options. Consider for example the SciViews package Philippe and me are working on. When loading on Windows, it automatically loads the associated GUI executable. It should be convenient to have an option not to load the exe but still have an access to the R functions of the package. For that, I think a simple change

Hi, If I define the following list: > (l<-list("text-align"="right")) $"text-align" [1] "right" I know that I can't use l$text-align, as the parser will find a '-' operation. If I want (need) to use special names, as "text-align", I have to enclose it between "". So I can use: l$"text-align" or

Hi users, I am not sure to understand the help page about do.call. -- do.call(what, args) args: a _list_ of arguments to the function call. The 'names' attribute of 'args' gives the argument names. -- If we take the following sample data: > (tab=as.data.frame(table(factor(1:10)))) Var1 Freq 1 1 1 2 2 1 3 3 1 4 4 1 5 5

Hi R-users and developers, This month may have seen one of the biggest thread never seen on R-related mailing lists, the one about "GPL software" and "hidden costs" (at this day, thread is still open - and active!). Lot's of mails in this thread are not really relevant to the original mail, send by Philippe Grosjean. Nevertheless, most of the mails are of interest and

Hello R Power Users, There is a rather large introduction you may skip to go directly to my question about S4 classes. I am working on some toy code to help me get in through S4 classes. Doing this homework, I have some questions about S4 classes. I have carefully read available help and some additional material such as Robert Gentleman's slides and special attention to "Programming

Hi R-devel, If you did read my survey on Rhelp about reporting, you may have seen that I am implementing a way to handle outputs for R (mainly target output destinations: xHTML and TeX). In fact: I does have something that works for basic objects, entirely done with S4 classes, with the results visible at: http://www.stat.ucl.ac.be/ROMA/sample.htm http://www.stat.ucl.ac.be/ROMA/sample.pdf To