search for: axell

Hi, a very basic question: What ist the easiest way in R to concatenate two lists of vectors? E.g, I have x<-list(c(1,2)) y<-list(c(3,4)) and I want to receive list(c(1,2),c(3,4)) thank you! Axel ________________________________________ Fraunhofer Institut fuer Arbeitswirtschaft und Organisation (IAO) Dipl. Inf. Axel Benz Nobelstr. 12 D-70569 Stuttgart Germany Tel. +49(0)7119702289 Fax.

Hi Keno, The part that scares me a bit is > and then adjust the other methods to not > bail out two quickly when encountering a weak symbol. I would very much appreciate if you could implement this; I don't have enough knowledge of the MCJIT nor llvm CodeGen internals... I will happily try it out and provide you with feedback, though! :-) Thank you *so* much for your fast reaction!

Full_Name: Axel Benz Version: 1.7.1 OS: Windows Submission from: (NULL) (137.251.33.43) This feature seems to be a basic bug: > 1=="1" [1] TRUE > as.numeric(1)=="1" [1] TRUE > as.numeric(1)==as.character("1") [1] TRUE isn't it necessary to distinguish beteen numbers and characters?? Best Regards, Axel

Hi all! I am intrested in the following scheme My mobile phone -> SMS to SOMETHING -> Redirect to FWD number -> FDW redirect to my * -> My * doing smtg There are companies like calluk.com that provide DIDs for free, but they do not support SMS. In http://www.voip-info.org/wiki-Asterisk+cmd+Sms they say "Works to ETSI ES 201 912 compatible with BT SMS PSTN service in UK"

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Hi All, I didn't have much success through my Google search in finding any active R-related projects to create a wrapper around TensorFlow in R. Anyone know if this is on the go? Thanks, Axel. [[alternative HTML version deleted]]

Hi, we want to implement a C++ interpreter using LLVM and clang, to replace our existing one <http://root.cern.ch/drupal/content/cint> that is used as part of a data handling and analysis environment <http://root.cern.ch>. We plan to keep the set of features that our current interpreter offers, e.g. calls into and out of libraries, dynamic scoping, unloading of code, and a prompt. I

Maybe best asked to Axel... I'm re-building my server from scratch (the old one was MDK 10.1 -> Mandriva 2006.0 with Postfix/Courier) and I want to install the latest versions postfix/mysql/postfixadmin/dovecot/squirrelmail. I've been building Dovecot (and postfix) from tarballs/srpm in the past so I know more or less how it all fits together. But I wonder if 'old' patches

2009/8/31 Axel Naumann <Axel.Naumann at cern.ch>: > we want to implement a C++ interpreter using LLVM and clang Isn't clang going on that direction anyway? cheers, --renato Reclaim your digital rights, eliminate DRM, learn more at http://www.defectivebydesign.org/what_is_drm

Hi All, I'm planning to submit my first package to R, and although I read all the documentation, I'm not very clear on the following 2 items, from which I'd appreciate your guidance: 1)I understand it is suggested to use the R dev version to build the package. Which one specifically should I use to build a package on a Mac OS? How about package dependencies, which version should I

Dear List, The gbm package on Win 7 produces different results for the relative importance of input variables in R 32-bit relative to R 64-bit. Any idea why? Any idea which one is correct? Based on this example, it looks like the relative importance of 2 perfectly correlated predictors is "diluted" by half in 32-bit, whereas in 64-bit, one of these predictors gets all the importance

Hi, I am about to write functions for multivariate kernel densitiy estimation with mixed categorical and continuous date (accoring to Jeff Racine and Qi Li), and the leave-one-out window esitmation needs a lot of computation. I am now optimizing the code performance and therefore fhe following questions: As R uses call-by-value for functions, is it computational expensive to pass large matrices

Dear List, I'm trying to add a function that calls a Shiny App in my R package. The issue is that within my function, I'm creating objects that I'd like to pass to the app. For instance, from the example below, I'm getting "Error: object 'xs' not found". How can I pass "xs" explicitly to shinyApp()? *Under R directory:* myApp <- function(x, ...) {

Dear Axel, I've used environment for such problems. assign("xs", xs, envir = my.env) in the myApp function get("xs", envir = my.env) in the server function Best regards, ir. Thierry Onkelinx Statisticus/ Statiscian Vlaamse Overheid / Government of Flanders INSTITUUT VOOR NATUUR- EN BOSONDERZOEK / RESEARCH INSTITUTE FOR NATURE AND FOREST Team Biometrie &

Dear List, I'm trying to solve this simple optimization problem in R. The parameters are the exponents to the matrix mm. The constraints specify that each row of the parameter matrix should sum to 1 and their product to 0. I don't understand why the constraints are not satisfied at the solution. I must be misinterpreting how to specify the constrains somehow. library(alabama) ff <-

Hi, I'm finally moving cling to MCJIT - and MCJIT is wonderful! So far I only ran into this issue: $ cat linkonceodr.cxx extern "C" int printf(const char*,...); template <class T> struct StaticStuff { static T s_data; }; template <class T> T StaticStuff<T>::s_data = 42; int compareAddr(int* mcjit); #ifdef BUILD_SHARED int compareAddr(int* mcjit) { if (mcjit

Thank you Thierry. I'm trying to following your suggestion in the example below, but getting: Error in get("xs", envir = my.env) : object 'my.env' not found. library(shiny) library(shinydashboard) myApp <- function(x, ...) { xs <- scale(x) my.env <- new.env() assign("xs", xs, envir = my.env) shiny::runApp(app) } app = shinyApp( ui =

Full_Name: Axel Rasche Version: 2.2.0 OS: Linux Submission from: (NULL) (141.14.21.81) Dear Debuggers, This is not a serious problem. Are 0/1 vectors intended to be used as index vectors? If yes, there is a bug. If not, it leads just to some funny behaviour rather than an error message. In the appendix is some simple code to reproduce the problem. A logical vector as.logic(a) helps by indexing

On Wed, Dec 02, 2015 at 08:53:39PM +0100, Axel Glienke wrote: > Creating snapshot: > > [root at lvmtest ~]# lvcreate -L5G -s -n root_snap /dev/centos/root > Reducing COW size 5,00 GiB down to maximum usable size 2,94 GiB. > Logical volume "root_snap" created. > [root at lvmtest ~]# lvs > LV VG Attr LSize Pool Origin Data% Meta% Move > Log

Dear R users, I know this issue came up in the list several times. I’m currently running R on 32-bit on Windows and due to memory limitation problems would like to move to a 64-bit environment. I’m exploring my options and would appreciate your expertise: 1) Windows 64-bit: Prof. Brian Ripley recently posted the experimental built of R for win 64-bit. I’ll appreciate any feedback on