similar to: StatDataML

Hi, I just had a very quick look at the StatDataML proposal --- nice work! At the risk of showing my ignorance, I want to mention my first impressions. My first impression is that defining datasets in terms of arrays and list is a bit too high a level. What about simpler vectors, scalars? (I know that R/S don't have scalars, but other systems/applications do.) Can we think of a core

Has anyone experimented with the Network Common Data Format (netcdf) described at http://www.unidata.ucar.edu/packages/netcdf for archiving data? Is this format widely used outside of atmospheric research? -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Thomas (I'm getting a bit confused about whether this discussion is taking place on r-devel or omega-devel, and perhaps everyone is on both lists) I just posted something on R-devel which I hope addresses many of the points you mentioned, in particular pointing out that I meant encryption for the purpose of authentication, not for the purpose of making something secret, and I was using the

Hi, Can I build llvm with gcc 3.4.2 !!!! I'm getting the following error when I trying to build llvm 2.5 and also 2.4 make[3]: Nothing to be done for `all'. make[3]: Leaving directory `/remote/users/hsenussi/edifact/llvm-2.4/ lib/Transforms/IPO' make[3]: Entering directory `/remote/users/hsenussi/edifact/llvm-2.4/ lib/Transforms/Hello' llvm[3]: Linking Release Loadable

Where I work a lot of people end up using Excel spreadsheets for storing data. This has limitations and maybe some less than obvious problems. I'd like to recommend a uniform way for storing and archiving data collected in the department. Most of the data could be stored in simple csv type files but it would be nice to have something that stores more information about the variables and units.

Hi, sorry if this is OT here. I'm trying to compile StatDataML[1] to import Matlab data into R. The R part works fine but compiling the Matlab part exits with this error message (following the INSTALL instructions: autoconf -> ./configure -> make): ,----[ patrick at trurl:~/src/statdatml/StatDataML/MatOct> make ] | make[1]: Entering directory

Hi, I was wondering if Statdataml is currently the preferred way to represent statistical data in XML in R. And also if the Statdataml api provides ways to load the XML as a HTTP GET? If so can you give me an easy example of this. Thanks. Cheers, Bryan Rasmussen

The e1071-group is developping a data exchange package based on XML, called StatDataML. Both read and write functionality is available for R/S and MATLAB/Octave. Now here is a snapshot from the "StatDataML for MATLAB/Octave"-package. It should work fine, but the installation procedure needs some improvement yet. I think the following will nevertheless make it run: 1. Get libxml 2.x

I'm trying to set up R INSTALL for my padi package and the compile needs -I pkg/src-c to find some .h files. (Perhaps I should be putting these in a different location?) Could someone please explain how I should pass this location to the compiler used by R INSTALL from the Makefile in my pkg/src? Thanks Paul Gilbert

Hi, is there any way to exchange (A LOT OF) data between SPPS and R/Splus, i.e., I want to get data from SPSS into R. It is a huge data frame with many columns being factors, so manual conversion is out of question (and there are more data to come). Exporting ASCII from SPSS seems to loose all level names, and the portable SPSS format doesn't look too nice. I've searched S-news and

I've just installed Mandrake Linux, then compiled R-0.65.1 . Whether because I omitted some necessary items when I selected software for installion, or because they anyway needed to be loaded afterwards, I found it necessary to load the following packages in order to compile R-0.65.1 pgcc-g77-1.1.3-3mdk.i586.rpm (Fortran g77 compiler) XFree66-devel-3.3.5-3mdk.i586.rpm (X.h etc

I like to have a continuously running R process, which can receive a dataframe from a client (over TCP/IP), does some processing, and sends some data back. What is the prefered way to do this? Using the socket interface? Using omega's CORBA stuff? Does anyone has example code for doing so? Thanks for any help Regards -- Dr. Jens Oehlschl?gel-Akiyoshi Analyse MD FACTORY GmbH Gr?nstr. 15

Hi, I'm rarther curious if it is possible to interface C or Java GUIs with the underlying R statistical engine. SPLUS has something like this in S+SDK. Lionel -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in

Hi, I need to somehow make R communicate with another remote JAVA process which provides compute services. I have control over the communications protocol, but I would like to keep it to a standardised protocol, such as SOAP, CORBA, etc. What I would like to know is, what do other people use to do this? The nature of the communications will be low bandwidth procedure calls, with little data.

Hi I used the command R CMD INSTALL ncdf to install ncdf package in linux. Can somebody explain to me what might be wrong. Thanks. Below is the error. * Installing *source* package 'ncdf' ... Special note: checking for gcc... gcc checking for C compiler default output... a.out checking whether the C compiler works... yes checking whether we are cross compiling... no checking for

We are happy to announce that the R user conference useR! 2008 is scheduled for August 12-14, 2008, and will take place at the University of Dortmund. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online starting from December 2007). Prior to the conference, there will be

We are happy to announce that the R user conference useR! 2008 is scheduled for August 12-14, 2008, and will take place at the University of Dortmund. As for the predecessor conferences, the program will consist of two parts: invited lectures and user-contributed sessions (abstract submission will be available online starting from December 2007). Prior to the conference, there will be

Having trouble with netCDF since I upgraded to 1.2.1 (did directly from 1.1.1). Package was recompiled after the upgrade. Symptoms: open.netCDF returns cleanly, but read.netCDF causes R to segfault and dump core. What else do you need me to write to help? --please do not edit the information below-- Version: platform = i586-pc-linux-gnu arch = i586 os = linux-gnu system = i586, linux-gnu

Greetings. I am attempting to add NetCDF libraries within R, and have failed. We have R version 2.8, and are running on a 64-bit Redhat Linux 2.6.18 kernel: Red Hat Enterprise Linux Client release 5.2 (Tikanga) Linux halfmoon.ncdc.noaa.gov 2.6.18-92.1.22.el5 #1 SMP Fri Dec 5 09:28:22 EST 2008 x86_64 x86_64 x86_64 GNU/Linux I have run the installation instructions found at

summary: I can successfully ncvar_put(...) data to a file, but when I try to ncvar_get(...) the same data, I get > Error in if (nc$var[[li]]$hasAddOffset) addOffset = nc$var[[li]]$addOffset else addOffset = 0 : > argument is of length zero How to fix or debug? details: R code @ https://github.com/TomRoche/GEIA_to_NetCDF successfully (if crudely) uses R packages={ncdf4, maps, fields}